Python

programming language, data science, web development

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17081

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14572

Python – Swiss Army knife of programming. Versatile, readable, and powerful. Stands out with simple syntax and huge community support. Ideal for data engineers due to extensive libraries like Pandas, NumPy, and SciPy. Seamlessly integrates with big data tools like Hadoop and Spark. Perfect for ETL processes, data analysis, and machine learning. Open-source, cross-platform, and constantly evolving. Python’s flexibility and ease of use make it indispensable for rapid prototyping and scalable solutions. Not just another language – it’s the backbone of modern data engineering.

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Python for Data Analysis Compare to other programming languages

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17081

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using Python for

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Analytics Engineers

Data Engineers

Analysts

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Others

but please no

Agile/Scrum

JIRA

Activity Schema

Adobe Analytics

Agile/Scrum

Artificial Intelligence/Machine Learning

Airbyte

Apache Airflow

Alation

Alteryx

Amplitude

Analytics

Analytics Engineering

Ansible

Apache Flink

Application Programming Interface (API)

AppDynamics

Redpanda

Webhooks

Argo CD

Apache Arrow

Astronomer

Amazon Athena

Apache Avro

Amazon Web Services (AWS)

Amazon Aurora

AWS CloudFormation

Amazon CloudWatch

Amazon EC2

Amazon EMR

AWS Glue

Amazon Kinesis

AWS Lambda

Amazon RDS

Microsoft Azure

Azure Data Factory

Azure DevOps

Bash

Apache Beam

Business Intelligence (BI)

Big Data

BigEye

Google BigQuery

Blendo

Blockchain

C

C#/.NET

Apache Cassandra

Cyber Security

Certified Cloud Security Professional (CCSP)

Certified Information Systems Security Professional (CISSP)

FinOps

Customer Data Platform (CDP)

Chef

Chroma

Continuous Integration/Continuous Delivery (CI/CD)

Circle CI

ClickHouse

Cloud Computing

Cloud Storage

Cloudflare

Azure Cosmos DB

Collibra

IBM Cognos

Computer Science

Confluence

C++

Customer Relationship Management (CRM)

Comma-Separated Values (CSV)

Cypress

Dagster

Dashboard

Data Analytics

Data Contracts

Data Engineering

Data Governance

Data Lake

Data Lakehouse

Data Management

Data Modelling

Data Quality

Data Science

Data Vault

Data Visualization

Databricks

Datacoral

Datadog

Google Cloud Dataflow

Datafold

Google Dataform

Dataiku

DataOps

Google Cloud Dataproc

Data Analysis Expressions (DAX)

dbt (data build tool)

Delta Lake

DevOps

Docker

Dremio

DuckDB

Data Warehouse

DynamoDB

Dynatrace

Elasticsearch/ELK Stack

Enterprise Resource Planning (ERP)

ETL/ELT

Ethereum

Binance

Non-Fungible Tokens (NFT)

Geographic Information System (GIS)

Decentralized Finance (DeFi)

Smart Contracts

Chainalysis

Web3

Microsoft Excel

Feather

Fivetran

Funnel

Google Cloud Platform (GCP)

GDPR/CCPA

Generative AI

Git

GitHub

GitLab

Go

Google Analytics

Google Cloud Composer

Google Cloud Data Fusion

Google Cloud Functions

Google Cloud Run

Google Sheets

Grafana

Google Tag Manager (GTM)

Apache Hadoop

Apache HBase

Hierarchical Data Format

Hadoop Distributed File System (HDFS)

Heap Analytics

Hevo Data

Apache Hive

HyperText Markup Language (HTML)

Hubspot

Hyper-V

IBM

Apache Iceberg

Informatica

Data Collection

Internet of Things (IoT)

Java

JavaScript

Jenkins

Jira

JavaScript Object Notation (JSON)

JSON Schema

Apache Kafka

Keras

Kibana

(Kimball) Dimensional Modeling

Kissmetrics

Key Performance Indicator (KPI)

Kubernetes

Linux

Large Language Models (LLM)

Logstash

Looker

Looker Studio

Luigi

Management

MariaDB

Marketing

Marketing Mix Modeling (MMM)

Master Data Management

Masthead Data

Matillion

MATLAB

Matomo

Matplotlib

Modern Data Stack

Meltano

Mendix

Metabase

Microsoft

Microsoft Fabric

Mixpanel

MLOps

Mode Analytics

MongoDB

Monte Carlo

MySQL

IBM Netezza

Neo4j

New Relic

Natural Language Processing (NLP)

NoSQL

NumPy

Opsgenie

Oracle

Optimized Row Columnar (ORC)

PagerDuty

Pandas

Apache Parquet

Pendo

Doctor of Philosophy (PhD)

Pinecone

Piwik PRO

Plausible Analytics

Playwright

Plotly

Polars

PostgreSQL

Microsoft Power BI

Microsoft PowerPoint

PowerShell

Prefect

Presto

Process Mining

Prometheus

Protocol Buffers

Pub/Sub

Pulumi

Puppet

Puppeteer

Pydantic

PySpark

Python

PyTorch

Qlik

Amazon QuickSight

R (Language)

Retrieval Augmented Generation (RAG)

Relational Database Management System (RDBMS)

React

Redash

Redis

Amazon Redshift

Recurrent Neural Networks

Rust

Amazon S3

Software as a Service (SaaS)

Amazon SageMaker

SAP

SAS

Scala

Scikit-learn

SciPy

Seaborn

Twilio Segment

Selenium

Singer

Sisense

Snowflake

Snowplow

Apache Spark

Splunk

SPSS

Structured Query Language (SQL)

SQLMesh

SQLFluff

SQLFmt

Microsoft SQL Server

SQL Server Analysis Services (SSAS)

SQL Server Integration Services (SSIS)

SQL Server Reporting Services

Stitch

Data Streaming

Supermetrics

Apache Superset

Azure Synapse Analytics

TIBCO Spotfire

Tableau

Talend

TensorFlow

Teradata

Bicep

Infrastructure as Code (IaC)

Azure Resource Manager (ARM)

Terraform

Terragrunt

Third Normal Form (3NF)

TOML

Trifacta

Apache Trino

Apache Druid

TypeScript

Unix

Visual Basic for Applications (VBA)

Vector DB

Vertica

VirtualBox

Virtual Machine

VMware

Microsoft Word

Extensible Markup Language (XML)

Xplenty

Yet Another Markup Language (YAML)

Motherduck

PostHog

Kestra

Omni Analytics

Thoughtspot

Lightdash

Hudi

Open Table Format (OTF)

Lance

data engineer Data Solutions - DataFeed Implementation Specialist @ factset JP \| 2025-12-28 FactSet seeks a DataFeed Implementation Specialist to roll out data feeds, APIs, and cloud delivery for enterprise clients. The role is heavily client-facing, coordinating Sales, TAM, PM, and... read more »	Analytics, API, Cloud Computing, Management, RDBMS, SQL, Python, ETL/ELT	Data Solutions - DataFeed Implementation Specialist factset (JP) FULL TIME \| JOB LISTED FactSet seeks a DataFeed Implementation Specialist to roll out data feeds, APIs, and cloud delivery for enterprise clients. The role is heavily client-facing, coordinating Sales, TAM, PM, and Consulting from pre-sales through testing. It sits at the junction of relational data analysis, ETL, and data delivery across standard, benchmark, real-time, and cloud offerings. Expect hands-on work with SQL and Python (a plus), ETL workflows, APIs, and both proprietary and third-party content. Fluency in English and Japanese is prized, potentially narrowing the pool but valuable for APAC. Success hinges on cross‑functional coordination during large-scale deployments and tight trial windows. It’s a solid, non-glamorous path into enterprise data integration with real exposure to the full product suite, fewer buzzwords, more execution risk. Generated content Technology used Analytics API Cloud Computing Management RDBMS SQL Python ETL/ELT Listed At 2025-12-28 2025-10-03 (original listing) Similar Jobs Loading... Permalink View original posting
data engineer Senior Data Management Professional - Data Engineering - APAC New Issues, Tokyo @ bloomberg JP \| 2025-12-27 Senior Data Management Professional - Data Engineering at Bloomberg in Tokyo demands a bilingual, technically hands‑on lead who can cradle the corporate bonds pipeline from ingestion to... read more »	Data Management, Data Engineering, Analytics, BI, ETL/ELT, DataViz, Python, Data Quality, Management, Data Science, AI/ML, Qlik, Superset, Agile/Scrum	Senior Data Management Professional - Data Engineering - APAC New Issues, Tokyo bloomberg (JP) FULL TIME \| JOB LISTED Senior Data Management Professional - Data Engineering at Bloomberg in Tokyo demands a bilingual, technically hands‑on lead who can cradle the corporate bonds pipeline from ingestion to publication. The role is heavy on automated workflows, microservice‑style data ingestion and ETL, and measuring impact with BI, data visualization, and statistics. The candidate must balance technical leadership with cross‑functional diplomacy across Engineering, Product, Sales and external partners, while mentoring juniors. The tech stack sketched is Python for ETL, scripting for pre‑processing, and standard data management principles, plus production‑grade pipelines and third‑party data quality controls. A strong plus for familiarity with fixed income, data science and ML techniques for automation, and tools like QlikSense, Superset or Tableau. It’s Bloomberg: prestige meets regulatory rigor, scope global, pressure to deliver fast, with Japan/English bilingual requirement. The market is competitive; the role is thoughtful, not buzzword bingo. Generated content Technology used Data Management Data Engineering Analytics BI ETL/ELT DataViz Python Data Quality Management Data Science AI/ML Qlik Superset Agile/Scrum Listed At 2025-12-27 2025-11-13 (original listing) Similar Jobs Loading... Permalink View original posting
promoted Masthead Data Masthead is a data reliability platform built for Google Cloud, focused on detecting anomalies and ensuring smooth data pipeline operations. It offers real-time notifications for data issues and pipeline errors without direct access to your sensitive data.	Learn More
data engineer 【EDH】デジタルエンジニア職 EYデジタルハブ採用 @ ernstandyoung JP \| 2025-12-26 EY Digital Hub Tokyo is seeking digital engineers and senior digital engineers for client-facing work across requirements definition, design, development, testing, deployment and ongoing support... read more »	Azure, SaaS, CRM, Microsoft, ERP, Marketing, API, Cyber Security, AI/ML, DWH, Data Lake, BI, Java, JavaScript, React, C, Python, SQL Server, PostgreSQL, MySQL, SAP, DevOps, CDP, Management	【EDH】デジタルエンジニア職 EYデジタルハブ採用 ernstandyoung (JP) FULL TIME \| JOB LISTED EY Digital Hub Tokyo is seeking digital engineers and senior digital engineers for client-facing work across requirements definition, design, development, testing, deployment and ongoing support of business apps—from CRM, marketing and data analytics to ERP and SFA. The role promises both full-stack development (Java, JavaScript with Angular/React, .NET, Python, SQL) and cloud/on-prem infrastructure on Azure, plus low-code/no-code paths (Power Platform, ServiceNow, UiPath). A data-engineering axis appears via data warehousing/lakes, BI foundations and AI enablement, with cyber security testing and risk analysis in scope. For senior levels, team leadership, client negotiation, and delivery governance join the mix. Pros: access to EY's global tools, training and network, and clear leadership development in a growing hub. Cons: broad scope invites ambiguity, salary not disclosed, and heavy multi-discipline expectations, including Japanese business fluency. Generated content Technology used Azure SaaS CRM Microsoft ERP Marketing API Cyber Security AI/ML DWH Data Lake BI Java JavaScript React C Python SQL Server PostgreSQL MySQL SAP DevOps CDP Management Listed At 2025-12-26 2025-10-02 (original listing) Permalink View original posting
data engineer Senior Data Engineer @ bain-and-company JP \| 2025-12-26 Senior Data Engineer in Bain’s AIS Data Engineering within the AI, Insights & Solutions team. You’ll design, build and deploy data solutions for production-scale client ecosystems, and own the... read more »	AI/ML, Analytics, Management, Data Engineering, Data Science, Cloud Computing, Python, Scala, C, C++, Java, Go, Airflow, Beam, SQL, NoSQL, Databricks, PostgreSQL, SQL Server, Oracle, MySQL, Redis, MongoDB, ELK, Hive, Apache HBase, Teradata, Cassandra, Redshift, AWS, Azure, GCP, Kubernetes, Terraform, DevOps, CI/CD, GitHub, Computer Science, Agile/Scrum	Senior Data Engineer bain-and-company (JP) FULL TIME \| JOB LISTED Senior Data Engineer in Bain’s AIS Data Engineering within the AI, Insights & Solutions team. You’ll design, build and deploy data solutions for production-scale client ecosystems, and own the full lifecycle from data ingestion to governance. The tech spec is broad and heavy: Python, Java, Scala, or C#/Go; data pipelines with Airflow, Beam, Luigi, Metaflow, Kubeflow; SQL/NoSQL across Databricks, Postgres, Redshift, Snowflake, MongoDB, Redis, Elasticsearch; cloud and Kubernetes via Terraform; CI/CD and Github Actions; strong CS fundamentals; agile; end-to-end project setup and testing. Travel about 30%. It’s a prestige, consulting-role with an emphasis on cross-functional collaboration and business storytelling, not just code. What stands out: exposure to enterprise-scale platforms, modern data tooling, and a real chance to influence client outcomes; risk: vague salary, heavy travel, high expectations, and long hours in a client-mentored environment. It’s solid, not a magic wand. Generated content Technology used AI/ML Analytics Management Data Engineering Data Science Cloud Computing Python Scala C C++ Java Go Airflow Beam SQL NoSQL Databricks PostgreSQL SQL Server Oracle MySQL Redis MongoDB ELK Hive Apache HBase Teradata Cassandra Redshift AWS Azure GCP Kubernetes Terraform DevOps CI/CD GitHub Computer Science Agile/Scrum Listed At 2025-12-26 2025-11-06 (original listing) Similar Jobs Loading... Permalink View original posting
data engineer Technical Account Manager - Cloud and Graphics Technologies @ nvidia JP \| 2025-12-25 NVIDIA seeks a technically proficient role combining software troubleshooting and customer interaction, focusing on the Omniverse platform within CSP environments. The position's differentiator is... read more »	AI/ML, Computer Science, Cloud Computing, Kubernetes, Docker, Python, Data Analytics, C++, Cosmos	Technical Account Manager - Cloud and Graphics Technologies nvidia (JP) FULL TIME \| JOB LISTED NVIDIA seeks a technically proficient role combining software troubleshooting and customer interaction, focusing on the Omniverse platform within CSP environments. The position's differentiator is working on scalable real-time graphics and simulation software, with a risk of customer issues being complex and potentially unresolved. The role requires at least 6+ years of experience and familiarity with 3D workflows, container orchestration, and NVIDIA libraries, but no salary details are provided. Generated content Technology used AI/ML Computer Science Cloud Computing Kubernetes Docker Python Data Analytics C++ Cosmos Listed At 2025-12-25 2025-12-04 (original listing) Similar Jobs Loading... Permalink View original posting
data engineer Technical Account Manager (Japan)\| ThousandEyes @ cisco JP \| 2025-12-25 ThousandEyes markets a TAM role that fuses network-forensic craft with premium-support accountability for named accounts, aligned to business hours but tightly coupled to a 24x7 follow-the-sun... read more »	Cloud Computing, SaaS, Computer Science, VMware, VirtualBox, Docker, Kubernetes, JavaScript, Python, Linux, Management, Data Analytics, AI/ML	Technical Account Manager (Japan)\| ThousandEyes cisco (JP) FULL TIME \| JOB LISTED ThousandEyes markets a TAM role that fuses network-forensic craft with premium-support accountability for named accounts, aligned to business hours but tightly coupled to a 24x7 follow-the-sun team. It asks for 5–7 years of technical customer-facing experience and a deep grasp of network and application protocols, with Cisco/Juniper certs strongly preferred. Cloud/SaaS familiarity, ISP/CDN knowledge, and hands-on hypervisors (KVM, VMware, Hyper-V, VirtualBox) sit beside container tooling (Docker, Kubernetes) and scripting (JavaScript or Python). Linux administration, security and SSO know-how, plus data-driven storytelling, round out the requirements. Responsibilities span incident support, performance optimization, proactive customer engagement, cross-functional collaboration, escalations, and multi-project leadership. It stands out for its rare blend of enterprise networking discipline with customer-experience engineering, though the toolset is onerous and expectations high. Generated content Technology used Cloud Computing SaaS Computer Science VMware VirtualBox Docker Kubernetes JavaScript Python Linux Management Data Analytics AI/ML Listed At 2025-12-25 2025-11-12 (original listing) Similar Jobs Loading... Permalink View original posting
promoted The Fundamentals of Analytics Engineering The Fundamentals of Analytics Engineering gives a holistic understanding of the analytics engineering lifecycle by integrating principles from both data analysis and engineering. It's a book that teaches concepts and best practices, not just tools and technologies.	Learn More
data engineer 【1484】_TE_【東京勤務】「Hondaクラウド基盤インフラエンジニア ─ 次世代モビリティを支える環境構築 @ honda JP \| 2025-12-25 \| JPY 5900000 - 10900000 / year Honda is building a cloud‑based SDV development platform and seeks an infrastructure engineer to design and run a massive, multi‑cloud development environment used by thousands of engineers. The... read more »	AWS, GCP, Azure, CI/CD, Jenkins, GitHub, Kubernetes, C, Python, JavaScript, Jira, Confluence, Git, Docker, GitLab, Argo CD, Prometheus, Grafana, Datadog, ELK, IaC, Terraform, Ansible, CloudFormation, DevOps, Linux, AI/ML	【1484】_TE_【東京勤務】「Hondaクラウド基盤インフラエンジニア ─ 次世代モビリティを支える環境構築 honda (JP) FULL TIME \| JOB LISTED Honda is building a cloud‑based SDV development platform and seeks an infrastructure engineer to design and run a massive, multi‑cloud development environment used by thousands of engineers. The role foregrounds process modernization, DevOps, and scalable, secure operations across AWS, GCP, and Azure, with Kubernetes/OpenShift, robust CI/CD pipelines (Jenkins, GitLab CI, ArgoCD, Spinnaker), observability stacks (Prometheus, Grafana, Datadog, ELK), and IaC (Terraform, Ansible, CloudFormation). Expect heavy tooling and integration with ALM systems like AUTOSAR, Doors, Enterprise Architect, PREEvision, and Jazz Platform. The upside is real influence over SDV evolution and cross‑domain work; the downside is potential bureaucracy, mobility requirements within Honda’s global footprint, and a governance‑heavy feel that may sap agility if you crave fast, isolated sprints. Salary shown: 5.9–10.9M JPY plus OT, upper ceiling for enterprise scale. Generated content Technology used AWS GCP Azure CI/CD Jenkins GitHub Kubernetes C Python JavaScript Jira Confluence Git Docker GitLab Argo CD Prometheus Grafana Datadog ELK IaC Terraform Ansible CloudFormation DevOps Linux AI/ML Listed At 2025-12-25 2025-10-21 (original listing) Similar Jobs Loading... Permalink View original posting
data engineer Senior Technical Solutions Engineer (Platform) @ databricks JP \| 2025-12-24 Databricks Senior Technical Solutions Engineer promises frontline tech support for the Databricks platform, spanning complex issues, best practices for custom builds, and cross-cloud integrations,... read more »	Databricks, Analytics, Big Data, AWS, Azure, Python, Java, Scala, SQL, Linux, Unix, AI/ML, Data Lakehouse, Spark, Delta	Senior Technical Solutions Engineer (Platform) databricks (JP) FULL TIME \| JOB LISTED Databricks Senior Technical Solutions Engineer promises frontline tech support for the Databricks platform, spanning complex issues, best practices for custom builds, and cross-cloud integrations, with escalation-to-engineering and customer advocacy as core duties. It demands 4+ years designing and maintaining Python/Java/Scala apps, expert Python, solid SQL, Linux/Unix chops, and hands-on cloud experience across AWS, Azure, or GCP, plus distributed big-data know-how. The on-call grind is real, and you’ll balance debugging sessions with writing docs and mentoring customers. What makes it stand out is genuine platform depth and multi-cloud exposure rather than a purely research or data science role; what’s worrying is the salary transparency opacity and the mix of engineering and customer-facing work that can blur focus. The role nods to Tokyo/Japan market requirements, and the bilingual English/Japanese criterion hints at a regional emphasis more than pure global tech. Generated content Technology used Databricks Analytics Big Data AWS Azure Python Java Scala SQL Linux Unix AI/ML Data Lakehouse Spark Delta Listed At 2025-12-24 2025-11-10 (original listing) Similar Jobs Loading... Permalink View original posting
data engineer Sr. Solutions Architect @ databricks JP \| 2025-12-23 Databricks' Pre-sales, Sr. Solutions Architect role sits at the interface of enterprise evangelism and hard-core tech. You guide the evaluation of the Databricks Lakehouse Platform in a hands-on,... read more »	Analytics, AI/ML, Big Data, Cloud Computing, Databricks, Data Lakehouse, Data Engineering, Data Science, AWS, Azure, GCP, Spark, Hadoop, Cassandra, Python, Scala, Java, R, Delta	Sr. Solutions Architect databricks (JP) FULL TIME \| JOB LISTED Databricks' Pre-sales, Sr. Solutions Architect role sits at the interface of enterprise evangelism and hard-core tech. You guide the evaluation of the Databricks Lakehouse Platform in a hands-on, advisory capacity, drafting reference architectures, demos, and 3rd-party integrations, while feeding back customer needs to product and sales. It rewards deep competence in big data tech—Spark, Hadoop, Cassandra; cloud design across AWS, Azure, GCP; and fluent Python/Scala (plus Java or R)—with a heavy tilt toward pre-sales storytelling and whiteboarding. The job demands customer-facing chops, territory ownership, and Japanese fluency, which narrows the candidate pool but aligns with global enterprise accounts. Databricks' brand offers scale and leverage, yet the role risks scope creep between engineering, sales, and product; success hinges on disciplined execution and practical reference architectures rather than buzzword compliance. Generated content Technology used Analytics AI/ML Big Data Cloud Computing Databricks Data Lakehouse Data Engineering Data Science AWS Azure GCP Spark Hadoop Cassandra Python Scala Java R Delta Listed At 2025-12-23 2025-11-10 (original listing) Similar Jobs Loading... Permalink View original posting
data engineer Cloud Platform Engineer (Kafka Specialist) @ paypay-corp JP \| 2025-12-23 PayPay asks for a Kafka veteran who can both shepherd a self-hosted, multi-cluster streaming platform and navigate AWS MSK, all while moving toward KRaft and an event-driven architecture. The... read more »	Kafka, Data Streaming, AWS, Management, Java, Python, ELK, Athena, Docker, Kubernetes, Argo CD, GitHub, Jenkins, Terraform, Ansible, Logstash, Grafana, Confluence, Jira, Linux, Cloud Computing, Go, Git, CI/CD, Computer Science	Cloud Platform Engineer (Kafka Specialist) paypay-corp (JP) FULL TIME \| JOB LISTED PayPay asks for a Kafka veteran who can both shepherd a self-hosted, multi-cluster streaming platform and navigate AWS MSK, all while moving toward KRaft and an event-driven architecture. The senior, hands-on role promises architecture, development, and operations for high-throughput payments for tens of millions of users, with relentless emphasis on availability, latency, and security. You will tune Kafka, design topics and schemas with application teams, instrument pipelines, and automate infrastructure with Terraform and Ansible. The tech stack is wide: Java, Python, Go; Docker and Kubernetes; Argo in the CI/CD and release loop; plus observability with Grafana/Prometheus and log pipelines with Logstash and Vector. What stands out is the scale and the dual self-hosted/cloud tension; what challenges are the migration to KRaft, ZooKeeper-less setups, cross-region data sync, and keeping a highly regulated payments system sane under pressure. A solid, but not glamorous, grinding role with real impact. Generated content Technology used Kafka Data Streaming AWS Management Java Python ELK Athena Docker Kubernetes Argo CD GitHub Jenkins Terraform Ansible Logstash Grafana Confluence Jira Linux Cloud Computing Go Git CI/CD Computer Science Listed At 2025-12-23 2025-10-01 (original listing) Similar Jobs Loading... Permalink View original posting

data engineer Data Solutions - DataFeed Implementation Specialist @ factset JP \| 2025-12-28 FactSet seeks a DataFeed Implementation Specialist to roll out data feeds, APIs, and cloud delivery for enterprise clients. The role is heavily client-facing, coordinating Sales, TAM, PM, and... read more »	Analytics, API, Cloud Computing, Management, RDBMS, SQL, Python, ETL/ELT	Data Solutions - DataFeed Implementation Specialist factset (JP) FULL TIME \| JOB LISTED FactSet seeks a DataFeed Implementation Specialist to roll out data feeds, APIs, and cloud delivery for enterprise clients. The role is heavily client-facing, coordinating Sales, TAM, PM, and Consulting from pre-sales through testing. It sits at the junction of relational data analysis, ETL, and data delivery across standard, benchmark, real-time, and cloud offerings. Expect hands-on work with SQL and Python (a plus), ETL workflows, APIs, and both proprietary and third-party content. Fluency in English and Japanese is prized, potentially narrowing the pool but valuable for APAC. Success hinges on cross‑functional coordination during large-scale deployments and tight trial windows. It’s a solid, non-glamorous path into enterprise data integration with real exposure to the full product suite, fewer buzzwords, more execution risk. Generated content Technology used Analytics API Cloud Computing Management RDBMS SQL Python ETL/ELT Listed At 2025-12-28 2025-10-03 (original listing) Similar Jobs Loading... Permalink View original posting
data engineer Senior Data Management Professional - Data Engineering - APAC New Issues, Tokyo @ bloomberg JP \| 2025-12-27 Senior Data Management Professional - Data Engineering at Bloomberg in Tokyo demands a bilingual, technically hands‑on lead who can cradle the corporate bonds pipeline from ingestion to... read more »	Data Management, Data Engineering, Analytics, BI, ETL/ELT, DataViz, Python, Data Quality, Management, Data Science, AI/ML, Qlik, Superset, Agile/Scrum	Senior Data Management Professional - Data Engineering - APAC New Issues, Tokyo bloomberg (JP) FULL TIME \| JOB LISTED Senior Data Management Professional - Data Engineering at Bloomberg in Tokyo demands a bilingual, technically hands‑on lead who can cradle the corporate bonds pipeline from ingestion to publication. The role is heavy on automated workflows, microservice‑style data ingestion and ETL, and measuring impact with BI, data visualization, and statistics. The candidate must balance technical leadership with cross‑functional diplomacy across Engineering, Product, Sales and external partners, while mentoring juniors. The tech stack sketched is Python for ETL, scripting for pre‑processing, and standard data management principles, plus production‑grade pipelines and third‑party data quality controls. A strong plus for familiarity with fixed income, data science and ML techniques for automation, and tools like QlikSense, Superset or Tableau. It’s Bloomberg: prestige meets regulatory rigor, scope global, pressure to deliver fast, with Japan/English bilingual requirement. The market is competitive; the role is thoughtful, not buzzword bingo. Generated content Technology used Data Management Data Engineering Analytics BI ETL/ELT DataViz Python Data Quality Management Data Science AI/ML Qlik Superset Agile/Scrum Listed At 2025-12-27 2025-11-13 (original listing) Similar Jobs Loading... Permalink View original posting
promoted Masthead Data Masthead is a data reliability platform built for Google Cloud, focused on detecting anomalies and ensuring smooth data pipeline operations. It offers real-time notifications for data issues and pipeline errors without direct access to your sensitive data.	Learn More
data engineer 【EDH】デジタルエンジニア職 EYデジタルハブ採用 @ ernstandyoung JP \| 2025-12-26 EY Digital Hub Tokyo is seeking digital engineers and senior digital engineers for client-facing work across requirements definition, design, development, testing, deployment and ongoing support... read more »	Azure, SaaS, CRM, Microsoft, ERP, Marketing, API, Cyber Security, AI/ML, DWH, Data Lake, BI, Java, JavaScript, React, C, Python, SQL Server, PostgreSQL, MySQL, SAP, DevOps, CDP, Management	【EDH】デジタルエンジニア職 EYデジタルハブ採用 ernstandyoung (JP) FULL TIME \| JOB LISTED EY Digital Hub Tokyo is seeking digital engineers and senior digital engineers for client-facing work across requirements definition, design, development, testing, deployment and ongoing support of business apps—from CRM, marketing and data analytics to ERP and SFA. The role promises both full-stack development (Java, JavaScript with Angular/React, .NET, Python, SQL) and cloud/on-prem infrastructure on Azure, plus low-code/no-code paths (Power Platform, ServiceNow, UiPath). A data-engineering axis appears via data warehousing/lakes, BI foundations and AI enablement, with cyber security testing and risk analysis in scope. For senior levels, team leadership, client negotiation, and delivery governance join the mix. Pros: access to EY's global tools, training and network, and clear leadership development in a growing hub. Cons: broad scope invites ambiguity, salary not disclosed, and heavy multi-discipline expectations, including Japanese business fluency. Generated content Technology used Azure SaaS CRM Microsoft ERP Marketing API Cyber Security AI/ML DWH Data Lake BI Java JavaScript React C Python SQL Server PostgreSQL MySQL SAP DevOps CDP Management Listed At 2025-12-26 2025-10-02 (original listing) Permalink View original posting
data engineer Senior Data Engineer @ bain-and-company JP \| 2025-12-26 Senior Data Engineer in Bain’s AIS Data Engineering within the AI, Insights & Solutions team. You’ll design, build and deploy data solutions for production-scale client ecosystems, and own the... read more »	AI/ML, Analytics, Management, Data Engineering, Data Science, Cloud Computing, Python, Scala, C, C++, Java, Go, Airflow, Beam, SQL, NoSQL, Databricks, PostgreSQL, SQL Server, Oracle, MySQL, Redis, MongoDB, ELK, Hive, Apache HBase, Teradata, Cassandra, Redshift, AWS, Azure, GCP, Kubernetes, Terraform, DevOps, CI/CD, GitHub, Computer Science, Agile/Scrum	Senior Data Engineer bain-and-company (JP) FULL TIME \| JOB LISTED Senior Data Engineer in Bain’s AIS Data Engineering within the AI, Insights & Solutions team. You’ll design, build and deploy data solutions for production-scale client ecosystems, and own the full lifecycle from data ingestion to governance. The tech spec is broad and heavy: Python, Java, Scala, or C#/Go; data pipelines with Airflow, Beam, Luigi, Metaflow, Kubeflow; SQL/NoSQL across Databricks, Postgres, Redshift, Snowflake, MongoDB, Redis, Elasticsearch; cloud and Kubernetes via Terraform; CI/CD and Github Actions; strong CS fundamentals; agile; end-to-end project setup and testing. Travel about 30%. It’s a prestige, consulting-role with an emphasis on cross-functional collaboration and business storytelling, not just code. What stands out: exposure to enterprise-scale platforms, modern data tooling, and a real chance to influence client outcomes; risk: vague salary, heavy travel, high expectations, and long hours in a client-mentored environment. It’s solid, not a magic wand. Generated content Technology used AI/ML Analytics Management Data Engineering Data Science Cloud Computing Python Scala C C++ Java Go Airflow Beam SQL NoSQL Databricks PostgreSQL SQL Server Oracle MySQL Redis MongoDB ELK Hive Apache HBase Teradata Cassandra Redshift AWS Azure GCP Kubernetes Terraform DevOps CI/CD GitHub Computer Science Agile/Scrum Listed At 2025-12-26 2025-11-06 (original listing) Similar Jobs Loading... Permalink View original posting
data engineer Technical Account Manager - Cloud and Graphics Technologies @ nvidia JP \| 2025-12-25 NVIDIA seeks a technically proficient role combining software troubleshooting and customer interaction, focusing on the Omniverse platform within CSP environments. The position's differentiator is... read more »	AI/ML, Computer Science, Cloud Computing, Kubernetes, Docker, Python, Data Analytics, C++, Cosmos	Technical Account Manager - Cloud and Graphics Technologies nvidia (JP) FULL TIME \| JOB LISTED NVIDIA seeks a technically proficient role combining software troubleshooting and customer interaction, focusing on the Omniverse platform within CSP environments. The position's differentiator is working on scalable real-time graphics and simulation software, with a risk of customer issues being complex and potentially unresolved. The role requires at least 6+ years of experience and familiarity with 3D workflows, container orchestration, and NVIDIA libraries, but no salary details are provided. Generated content Technology used AI/ML Computer Science Cloud Computing Kubernetes Docker Python Data Analytics C++ Cosmos Listed At 2025-12-25 2025-12-04 (original listing) Similar Jobs Loading... Permalink View original posting
data engineer Technical Account Manager (Japan)\| ThousandEyes @ cisco JP \| 2025-12-25 ThousandEyes markets a TAM role that fuses network-forensic craft with premium-support accountability for named accounts, aligned to business hours but tightly coupled to a 24x7 follow-the-sun... read more »	Cloud Computing, SaaS, Computer Science, VMware, VirtualBox, Docker, Kubernetes, JavaScript, Python, Linux, Management, Data Analytics, AI/ML	Technical Account Manager (Japan)\| ThousandEyes cisco (JP) FULL TIME \| JOB LISTED ThousandEyes markets a TAM role that fuses network-forensic craft with premium-support accountability for named accounts, aligned to business hours but tightly coupled to a 24x7 follow-the-sun team. It asks for 5–7 years of technical customer-facing experience and a deep grasp of network and application protocols, with Cisco/Juniper certs strongly preferred. Cloud/SaaS familiarity, ISP/CDN knowledge, and hands-on hypervisors (KVM, VMware, Hyper-V, VirtualBox) sit beside container tooling (Docker, Kubernetes) and scripting (JavaScript or Python). Linux administration, security and SSO know-how, plus data-driven storytelling, round out the requirements. Responsibilities span incident support, performance optimization, proactive customer engagement, cross-functional collaboration, escalations, and multi-project leadership. It stands out for its rare blend of enterprise networking discipline with customer-experience engineering, though the toolset is onerous and expectations high. Generated content Technology used Cloud Computing SaaS Computer Science VMware VirtualBox Docker Kubernetes JavaScript Python Linux Management Data Analytics AI/ML Listed At 2025-12-25 2025-11-12 (original listing) Similar Jobs Loading... Permalink View original posting
promoted The Fundamentals of Analytics Engineering The Fundamentals of Analytics Engineering gives a holistic understanding of the analytics engineering lifecycle by integrating principles from both data analysis and engineering. It's a book that teaches concepts and best practices, not just tools and technologies.	Learn More
data engineer 【1484】_TE_【東京勤務】「Hondaクラウド基盤インフラエンジニア ─ 次世代モビリティを支える環境構築 @ honda JP \| 2025-12-25 \| JPY 5900000 - 10900000 / year Honda is building a cloud‑based SDV development platform and seeks an infrastructure engineer to design and run a massive, multi‑cloud development environment used by thousands of engineers. The... read more »	AWS, GCP, Azure, CI/CD, Jenkins, GitHub, Kubernetes, C, Python, JavaScript, Jira, Confluence, Git, Docker, GitLab, Argo CD, Prometheus, Grafana, Datadog, ELK, IaC, Terraform, Ansible, CloudFormation, DevOps, Linux, AI/ML	【1484】_TE_【東京勤務】「Hondaクラウド基盤インフラエンジニア ─ 次世代モビリティを支える環境構築 honda (JP) FULL TIME \| JOB LISTED Honda is building a cloud‑based SDV development platform and seeks an infrastructure engineer to design and run a massive, multi‑cloud development environment used by thousands of engineers. The role foregrounds process modernization, DevOps, and scalable, secure operations across AWS, GCP, and Azure, with Kubernetes/OpenShift, robust CI/CD pipelines (Jenkins, GitLab CI, ArgoCD, Spinnaker), observability stacks (Prometheus, Grafana, Datadog, ELK), and IaC (Terraform, Ansible, CloudFormation). Expect heavy tooling and integration with ALM systems like AUTOSAR, Doors, Enterprise Architect, PREEvision, and Jazz Platform. The upside is real influence over SDV evolution and cross‑domain work; the downside is potential bureaucracy, mobility requirements within Honda’s global footprint, and a governance‑heavy feel that may sap agility if you crave fast, isolated sprints. Salary shown: 5.9–10.9M JPY plus OT, upper ceiling for enterprise scale. Generated content Technology used AWS GCP Azure CI/CD Jenkins GitHub Kubernetes C Python JavaScript Jira Confluence Git Docker GitLab Argo CD Prometheus Grafana Datadog ELK IaC Terraform Ansible CloudFormation DevOps Linux AI/ML Listed At 2025-12-25 2025-10-21 (original listing) Similar Jobs Loading... Permalink View original posting
data engineer Senior Technical Solutions Engineer (Platform) @ databricks JP \| 2025-12-24 Databricks Senior Technical Solutions Engineer promises frontline tech support for the Databricks platform, spanning complex issues, best practices for custom builds, and cross-cloud integrations,... read more »	Databricks, Analytics, Big Data, AWS, Azure, Python, Java, Scala, SQL, Linux, Unix, AI/ML, Data Lakehouse, Spark, Delta	Senior Technical Solutions Engineer (Platform) databricks (JP) FULL TIME \| JOB LISTED Databricks Senior Technical Solutions Engineer promises frontline tech support for the Databricks platform, spanning complex issues, best practices for custom builds, and cross-cloud integrations, with escalation-to-engineering and customer advocacy as core duties. It demands 4+ years designing and maintaining Python/Java/Scala apps, expert Python, solid SQL, Linux/Unix chops, and hands-on cloud experience across AWS, Azure, or GCP, plus distributed big-data know-how. The on-call grind is real, and you’ll balance debugging sessions with writing docs and mentoring customers. What makes it stand out is genuine platform depth and multi-cloud exposure rather than a purely research or data science role; what’s worrying is the salary transparency opacity and the mix of engineering and customer-facing work that can blur focus. The role nods to Tokyo/Japan market requirements, and the bilingual English/Japanese criterion hints at a regional emphasis more than pure global tech. Generated content Technology used Databricks Analytics Big Data AWS Azure Python Java Scala SQL Linux Unix AI/ML Data Lakehouse Spark Delta Listed At 2025-12-24 2025-11-10 (original listing) Similar Jobs Loading... Permalink View original posting
data engineer Sr. Solutions Architect @ databricks JP \| 2025-12-23 Databricks' Pre-sales, Sr. Solutions Architect role sits at the interface of enterprise evangelism and hard-core tech. You guide the evaluation of the Databricks Lakehouse Platform in a hands-on,... read more »	Analytics, AI/ML, Big Data, Cloud Computing, Databricks, Data Lakehouse, Data Engineering, Data Science, AWS, Azure, GCP, Spark, Hadoop, Cassandra, Python, Scala, Java, R, Delta	Sr. Solutions Architect databricks (JP) FULL TIME \| JOB LISTED Databricks' Pre-sales, Sr. Solutions Architect role sits at the interface of enterprise evangelism and hard-core tech. You guide the evaluation of the Databricks Lakehouse Platform in a hands-on, advisory capacity, drafting reference architectures, demos, and 3rd-party integrations, while feeding back customer needs to product and sales. It rewards deep competence in big data tech—Spark, Hadoop, Cassandra; cloud design across AWS, Azure, GCP; and fluent Python/Scala (plus Java or R)—with a heavy tilt toward pre-sales storytelling and whiteboarding. The job demands customer-facing chops, territory ownership, and Japanese fluency, which narrows the candidate pool but aligns with global enterprise accounts. Databricks' brand offers scale and leverage, yet the role risks scope creep between engineering, sales, and product; success hinges on disciplined execution and practical reference architectures rather than buzzword compliance. Generated content Technology used Analytics AI/ML Big Data Cloud Computing Databricks Data Lakehouse Data Engineering Data Science AWS Azure GCP Spark Hadoop Cassandra Python Scala Java R Delta Listed At 2025-12-23 2025-11-10 (original listing) Similar Jobs Loading... Permalink View original posting
data engineer Cloud Platform Engineer (Kafka Specialist) @ paypay-corp JP \| 2025-12-23 PayPay asks for a Kafka veteran who can both shepherd a self-hosted, multi-cluster streaming platform and navigate AWS MSK, all while moving toward KRaft and an event-driven architecture. The... read more »	Kafka, Data Streaming, AWS, Management, Java, Python, ELK, Athena, Docker, Kubernetes, Argo CD, GitHub, Jenkins, Terraform, Ansible, Logstash, Grafana, Confluence, Jira, Linux, Cloud Computing, Go, Git, CI/CD, Computer Science	Cloud Platform Engineer (Kafka Specialist) paypay-corp (JP) FULL TIME \| JOB LISTED PayPay asks for a Kafka veteran who can both shepherd a self-hosted, multi-cluster streaming platform and navigate AWS MSK, all while moving toward KRaft and an event-driven architecture. The senior, hands-on role promises architecture, development, and operations for high-throughput payments for tens of millions of users, with relentless emphasis on availability, latency, and security. You will tune Kafka, design topics and schemas with application teams, instrument pipelines, and automate infrastructure with Terraform and Ansible. The tech stack is wide: Java, Python, Go; Docker and Kubernetes; Argo in the CI/CD and release loop; plus observability with Grafana/Prometheus and log pipelines with Logstash and Vector. What stands out is the scale and the dual self-hosted/cloud tension; what challenges are the migration to KRaft, ZooKeeper-less setups, cross-region data sync, and keeping a highly regulated payments system sane under pressure. A solid, but not glamorous, grinding role with real impact. Generated content Technology used Kafka Data Streaming AWS Management Java Python ELK Athena Docker Kubernetes Argo CD GitHub Jenkins Terraform Ansible Logstash Grafana Confluence Jira Linux Cloud Computing Go Git CI/CD Computer Science Listed At 2025-12-23 2025-10-01 (original listing) Similar Jobs Loading... Permalink View original posting

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【EDH】 デジタルエンジニア職 EYデジタルハブ採用 @ ernstandyoung

Senior Data Engineer @ bain-and-company

Technical Account Manager - Cloud and Graphics Technologies @ nvidia

Technical Account Manager (Japan)| ThousandEyes @ cisco

The Fundamentals of Analytics Engineering

【1484】_TE_【東京勤務】「Hondaクラウド基盤インフラエンジニア ─ 次世代モビリティを支える環境構築 @ honda

Senior Technical Solutions Engineer (Platform) @ databricks

Sr. Solutions Architect @ databricks

Cloud Platform Engineer (Kafka Specialist) @ paypay-corp

【EDH】デジタルエンジニア職 EYデジタルハブ採用 @ ernstandyoung