Data Warehouse

analytics, business intelligence, data storage

DWH

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2738

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2502

Back in the day, when data lived in operational systems and reporting felt…painful, someone had the bright idea of centralizing everything into a single version of truth. Thus, the Data Warehouse was born, promising a utopian vision of informed decision-making. It’s essentially a meticulously curated archive, painstakingly cleansed and modeled for analysis – a lovely concept, really.

The reality? Building one is a bit like rearranging the Titanic’s deck chairs while it’s taking on water. Years of ETL pipelines, dimensional modeling debates, and the constant struggle to keep it aligned with rapidly changing source systems. Now, it coexists with data lakes and data marts, often becoming a costly, complex component in a larger data ecosystem. Still, plenty of enterprises cling to their dwh, mostly because admitting defeat after a decade-long project feels…uncomfortable.

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but please no

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Activity Schema

Adobe Analytics

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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 Engineer @ charles-&-keith-singapore-pte-ltd SG \| 2025-12-29 This Data Engineer role promises 2-3 years' hands-on work building and maintaining ETL pipelines across a multi-cloud stack (Alicloud, AWS, Azure, GCP) with governance baked in through... read more »	Cloud Computing, AWS, Azure, GCP, ETL/ELT, Data Governance, DWH, Cyber Security, Computer Science, Data Engineering, Big Data	Data Engineer charles-&-keith-singapore-pte-ltd (SG) FULL TIME \| JOB LISTED This Data Engineer role promises 2-3 years' hands-on work building and maintaining ETL pipelines across a multi-cloud stack (Alicloud, AWS, Azure, GCP) with governance baked in through documentation and security-minded practices. It correctly emphasizes collaboration with analysts, data scientists, and business stakeholders and the need to translate requirements into production pipelines and storage. Yet it reads as under-specified: no explicit mention of core tooling (Airflow or other orchestrators, Spark/Python/SQL), streaming versus batch processing, or data quality and testing practices. The governance angle is welcome, but the duties imply management expectations at a junior-mid level -- unclear whether 'team management' means mentoring or formal leadership. The odd inclusion of Alicloud hints at a non-global focus and may deter some Western applicants. No salary is shown, which adds uncertainty. Overall: practical, multi-cloud exposure and governance appeal, but the tech stack and guardrails could be clearer. Generated content Technology used Cloud Computing AWS Azure GCP ETL/ELT Data Governance DWH Cyber Security Computer Science Data Engineering Big Data Listed At 2025-12-29 2024-11-26 (original listing) Permalink View original posting
data engineer SVP, Operations Lead of Database and Data Platforms, Technology Group @ gic SG \| 2025-12-28 An operations lead role overseeing global database and data platform estates at GIC, blending legacy Oracle/SQL Server stewardship with a planned shift to cloud-native, open-source platforms like... read more »	Management, Oracle, SQL Server, Cloud Computing, AI/ML, Snowflake, Databricks, Analytics, KPI, Computer Science, Data Science, PostgreSQL, MySQL, Cassandra, DWH, Redshift, Data Streaming, DevOps, AWS, Azure, Docker, Kubernetes, Agile/Scrum	SVP, Operations Lead of Database and Data Platforms, Technology Group gic (SG) FULL TIME \| JOB LISTED An operations lead role overseeing global database and data platform estates at GIC, blending legacy Oracle/SQL Server stewardship with a planned shift to cloud-native, open-source platforms like Snowflake and Databricks, plus data mesh ideas. The job demands 15+ years in distributed, large-scale DB ops, a track record in multi-region leadership, DevOps/SRE, and IaC, plus cloud (AWS/Azure) and security know-how. It promises 24×7 availability, AI Ops, anomaly detection, self-healing clusters, and stringent SLAs with MSPs, vendors, and cross‑functional teams. The market-facing standout is the hybrid blend of strategic modernization and hands-on reliability, but the scope is broad and five-year horizon heavy on governance and transformation. Expect executive-level collaboration, talent-building duties, and a constant tension between risk management and innovation. Generated content Technology used Management Oracle SQL Server Cloud Computing AI/ML Snowflake Databricks Analytics KPI Computer Science Data Science PostgreSQL MySQL Cassandra DWH Redshift Data Streaming DevOps AWS Azure Docker Kubernetes Agile/Scrum Listed At 2025-12-28 2025-11-15 (original listing) Permalink View original posting
promoted BigQuery Cost Optimization Guide by Masthead Data The BigQuery Cost Optimization Guide is a valuable resource that offers a deep dive into understanding and managing the complexities of BigQuery costs. It provides practical guidelines and strategies to help you optimize both storage and compute expenses, ensuring you get the most value out of...	Learn More
data engineer Big Data Engineer Graduate (Monetization Data) - 2026 Start (BS/MS) @ tiktok SG \| 2025-12-28 The role at TikTok involves building and maintaining a BI platform to support advertising and analytics, with a focus on data acquisition, pipeline development, and data product creation. The... read more »	DWH, BI, AI/ML, Analytics, Data Modelling, Computer Science, SQL, Java, Python	Big Data Engineer Graduate (Monetization Data) - 2026 Start (BS/MS) tiktok (SG) FULL TIME \| JOB LISTED The role at TikTok involves building and maintaining a BI platform to support advertising and analytics, with a focus on data acquisition, pipeline development, and data product creation. The position requires a recent graduate with technical skills in SQL, Java, or Python, and a strong interest in data engineering and machine learning. The job emphasizes practical innovation and collaboration, but the description lacks clarity on specific technologies, tools, or performance metrics. While the opportunity to work on impactful projects is appealing, the role’s focus on generalist data skills and the absence of concrete technical details may limit its appeal to technically rigorous candidates. The company’s emphasis on diversity and growth is commendable, but the job summary fails to highlight specific tools or frameworks, making it difficult to assess the role’s technical merit. Generated content Technology used DWH BI AI/ML Analytics Data Modelling Computer Science SQL Java Python Listed At 2025-12-28 2025-07-28 (original listing) Similar Jobs Loading... Permalink View original posting
data engineer Big Data Engineer Graduate (Data Platform, TikTok Global E-Commerce) - 2026 Start (BS/MS) @ tiktok SG \| 2025-12-28 TikTok's Data Platform Partnering role is pitched as backend engineering for an E-Commerce data platform, turning business requirements into batch and real-time data warehouses, ETL, and data... read more »	DWH, Data Modelling, ETL/ELT, Analytics, DataViz, NLP, AI/ML, Computer Science, SQL, C, Python, Go	Big Data Engineer Graduate (Data Platform, TikTok Global E-Commerce) - 2026 Start (BS/MS) tiktok (SG) FULL TIME \| JOB LISTED TikTok's Data Platform Partnering role is pitched as backend engineering for an E-Commerce data platform, turning business requirements into batch and real-time data warehouses, ETL, and data products. You’ll model data, write and tune ETL jobs, build metrics with business teams, apply data mining, NLP, and ML to large datasets, and deliver visual reports. The stated offer is generous on scope but sparse on tooling: no specifics on cloud, frameworks, or observability—yet it demands strong SQL and one of C/C++/Java/Python/Golang, plus data-centric coding. It’s a graduate role with 2026 onboarding, rolling reviews, and a two-application limit, which sounds more HR gymnastics than engineering clarity. The challenge is real: end-to-end ownership, releases and upgrades, and cross-team coordination at TikTok’s scale, with governance and privacy under a microscope. Opportunity exists for rapid growth if you tolerate the hype and heat. Generated content Technology used DWH Data Modelling ETL/ELT Analytics DataViz NLP AI/ML Computer Science SQL C Python Go Listed At 2025-12-28 2025-07-28 (original listing) Similar Jobs Loading... Permalink View original posting
data engineer SAS Data Engineer, Data & Analytics, Technology Consulting @ ernstandyoung SG \| 2025-12-27 EY DnA in Singapore seeks a Data Engineer with SAS Viya to own end-to-end data platforms across BI, data warehousing and big data projects. The role demands 5+ years of SAS engineering,... read more »	Analytics, Data Analytics, Go, Big Data, SAS, ETL/ELT, Data Engineering, Agile/Scrum, BI, DWH, Management, Hadoop, Oracle, Tableau, Power BI, Computer Science	SAS Data Engineer, Data & Analytics, Technology Consulting ernstandyoung (SG) FULL TIME \| JOB LISTED EY DnA in Singapore seeks a Data Engineer with SAS Viya to own end-to-end data platforms across BI, data warehousing and big data projects. The role demands 5+ years of SAS engineering, maintenance experience with SAS Base, Enterprise Guide, ESP, Visual Analytics and Data Integration, plus 2+ years handling large data sets in Greenplum/Hadoop/Oracle/DB2 and dashboarding with Tableau or Power BI. You’ll script across DEV to PROD, manage changes, and navigate SDLC or Agile delivery, all while steering stakeholder expectations. EY touts scale, inclusivity and continuous learning, but the core tech is squarely SAS-heavy in a region where cloud-native, open-source platforms are the current lingua franca. The opportunity mixes governance, complex ETL, and client-facing consulting with a potentially niche salary conversation and a long runway for specialization. Generated content Technology used Analytics Data Analytics Go Big Data SAS ETL/ELT Data Engineering Agile/Scrum BI DWH Management Hadoop Oracle Tableau Power BI Computer Science Listed At 2025-12-27 2025-10-24 (original listing) Similar Jobs Loading... Permalink View original posting
data engineer Big Data Engineer Intern (Data Platform, TikTok Global E-Commerce) 2026 Start (BS/MS) @ tiktok SG \| 2025-12-27 TikTok’s Data Platform Business Partnering internship promises a hands-on plunge into scale, from batch and real-time data warehousing to ETL, data modeling, and building data products for... read more »	DWH, Data Modelling, ETL/ELT, Analytics, DataViz, NLP, AI/ML, Computer Science, SQL, C, Python, Go	Big Data Engineer Intern (Data Platform, TikTok Global E-Commerce) 2026 Start (BS/MS) tiktok (SG) INTERNSHIP \| JOB LISTED TikTok’s Data Platform Business Partnering internship promises a hands-on plunge into scale, from batch and real-time data warehousing to ETL, data modeling, and building data products for E-Commerce. The role demands translating business requirements into end-to-end data systems, plus data mining, NLP, and ML on large structured and unstructured datasets, with visualization of findings. It’s heavy on tech ammo—SQL and a mix of C/C++/Java/Python/Golang across pipelines, plus exposure to data-oriented programming and visualization tools. While attractive for students chasing real-world scale, the posting lacks explicit compensation details and mentorship structure, and the internship window is rigid (minimum three months, rolling reviews, two-application limit). It’s a genuine data engineering internship at a high-profile platform, but the hype around data warehouse and ML should be tempered by the reality of real-world tech debt, onboarding complexity, and deliverables. Generated content Technology used DWH Data Modelling ETL/ELT Analytics DataViz NLP AI/ML Computer Science SQL C Python Go Listed At 2025-12-27 2025-07-28 (original listing) Similar Jobs Loading... Permalink View original posting
promoted BigQuery Cost Optimization Guide by Masthead Data The BigQuery Cost Optimization Guide is a valuable resource that offers a deep dive into understanding and managing the complexities of BigQuery costs. It provides practical guidelines and strategies to help you optimize both storage and compute expenses, ensuring you get the most value out of...	Learn More
data engineer Data Engineer @ singaporepsa SG \| 2025-12-27 Chasing a data engineer role that blends ETL, API apps, dashboards, and ML in a hybrid cloud/on‑prem setup, this posting reads as a Swiss Army knife with a dashed budget. The core tech stack is... read more »	Analytics, AI/ML, API, Big Data, Cloud Computing, ETL/ELT, Data Quality, Azure, Management, CI/CD, Computer Science, Data Engineering, DWH, RDBMS, SQL Server, NoSQL, Python, Microsoft, SSIS, Informatica, Data Governance, Power BI, DAX, ADF, Data Lake, SQL, Azure DevOps, TensorFlow, PyTorch, Keras, Hadoop, Hive, Spark, Databricks	Data Engineer singaporepsa (SG) FULL TIME \| JOB LISTED Chasing a data engineer role that blends ETL, API apps, dashboards, and ML in a hybrid cloud/on‑prem setup, this posting reads as a Swiss Army knife with a dashed budget. The core tech stack is Azure‑heavy: Data Factory, Data Lake Storage, App Service, Azure SQL, plus CI/CD via Azure DevOps, and a mandate to deploy ML in production. On the data side you’ll design relational, NoSQL, and big‑data pipelines using Python, SSIS or Informatica IPC, with scraping tools like BeautifulSoup or Scrapy and dashboards in Power BI. The workload spans data quality, governance, and security while optimizing cost and performance. Requirements demand 2–3 years of data engineering or software experience, solid communication, and self‑start energy, which is ambitious given the breadth. It’s a full‑stack data role in a market that values specialization; beware the scope creep and vendor hype. Generated content Technology used Analytics AI/ML API Big Data Cloud Computing ETL/ELT Data Quality Azure Management CI/CD Computer Science Data Engineering DWH RDBMS SQL Server NoSQL Python Microsoft SSIS Informatica Data Governance Power BI DAX ADF Data Lake SQL Azure DevOps TensorFlow PyTorch Keras Hadoop Hive Spark Databricks Listed At 2025-12-27 2025-10-01 (original listing) Similar Jobs Loading... Permalink View original posting

data engineer Data Engineer @ charles-&-keith-singapore-pte-ltd SG \| 2025-12-29 This Data Engineer role promises 2-3 years' hands-on work building and maintaining ETL pipelines across a multi-cloud stack (Alicloud, AWS, Azure, GCP) with governance baked in through... read more »	Cloud Computing, AWS, Azure, GCP, ETL/ELT, Data Governance, DWH, Cyber Security, Computer Science, Data Engineering, Big Data	Data Engineer charles-&-keith-singapore-pte-ltd (SG) FULL TIME \| JOB LISTED This Data Engineer role promises 2-3 years' hands-on work building and maintaining ETL pipelines across a multi-cloud stack (Alicloud, AWS, Azure, GCP) with governance baked in through documentation and security-minded practices. It correctly emphasizes collaboration with analysts, data scientists, and business stakeholders and the need to translate requirements into production pipelines and storage. Yet it reads as under-specified: no explicit mention of core tooling (Airflow or other orchestrators, Spark/Python/SQL), streaming versus batch processing, or data quality and testing practices. The governance angle is welcome, but the duties imply management expectations at a junior-mid level -- unclear whether 'team management' means mentoring or formal leadership. The odd inclusion of Alicloud hints at a non-global focus and may deter some Western applicants. No salary is shown, which adds uncertainty. Overall: practical, multi-cloud exposure and governance appeal, but the tech stack and guardrails could be clearer. Generated content Technology used Cloud Computing AWS Azure GCP ETL/ELT Data Governance DWH Cyber Security Computer Science Data Engineering Big Data Listed At 2025-12-29 2024-11-26 (original listing) Permalink View original posting
data engineer SVP, Operations Lead of Database and Data Platforms, Technology Group @ gic SG \| 2025-12-28 An operations lead role overseeing global database and data platform estates at GIC, blending legacy Oracle/SQL Server stewardship with a planned shift to cloud-native, open-source platforms like... read more »	Management, Oracle, SQL Server, Cloud Computing, AI/ML, Snowflake, Databricks, Analytics, KPI, Computer Science, Data Science, PostgreSQL, MySQL, Cassandra, DWH, Redshift, Data Streaming, DevOps, AWS, Azure, Docker, Kubernetes, Agile/Scrum	SVP, Operations Lead of Database and Data Platforms, Technology Group gic (SG) FULL TIME \| JOB LISTED An operations lead role overseeing global database and data platform estates at GIC, blending legacy Oracle/SQL Server stewardship with a planned shift to cloud-native, open-source platforms like Snowflake and Databricks, plus data mesh ideas. The job demands 15+ years in distributed, large-scale DB ops, a track record in multi-region leadership, DevOps/SRE, and IaC, plus cloud (AWS/Azure) and security know-how. It promises 24×7 availability, AI Ops, anomaly detection, self-healing clusters, and stringent SLAs with MSPs, vendors, and cross‑functional teams. The market-facing standout is the hybrid blend of strategic modernization and hands-on reliability, but the scope is broad and five-year horizon heavy on governance and transformation. Expect executive-level collaboration, talent-building duties, and a constant tension between risk management and innovation. Generated content Technology used Management Oracle SQL Server Cloud Computing AI/ML Snowflake Databricks Analytics KPI Computer Science Data Science PostgreSQL MySQL Cassandra DWH Redshift Data Streaming DevOps AWS Azure Docker Kubernetes Agile/Scrum Listed At 2025-12-28 2025-11-15 (original listing) Permalink View original posting
promoted BigQuery Cost Optimization Guide by Masthead Data The BigQuery Cost Optimization Guide is a valuable resource that offers a deep dive into understanding and managing the complexities of BigQuery costs. It provides practical guidelines and strategies to help you optimize both storage and compute expenses, ensuring you get the most value out of...	Learn More
data engineer Big Data Engineer Graduate (Monetization Data) - 2026 Start (BS/MS) @ tiktok SG \| 2025-12-28 The role at TikTok involves building and maintaining a BI platform to support advertising and analytics, with a focus on data acquisition, pipeline development, and data product creation. The... read more »	DWH, BI, AI/ML, Analytics, Data Modelling, Computer Science, SQL, Java, Python	Big Data Engineer Graduate (Monetization Data) - 2026 Start (BS/MS) tiktok (SG) FULL TIME \| JOB LISTED The role at TikTok involves building and maintaining a BI platform to support advertising and analytics, with a focus on data acquisition, pipeline development, and data product creation. The position requires a recent graduate with technical skills in SQL, Java, or Python, and a strong interest in data engineering and machine learning. The job emphasizes practical innovation and collaboration, but the description lacks clarity on specific technologies, tools, or performance metrics. While the opportunity to work on impactful projects is appealing, the role’s focus on generalist data skills and the absence of concrete technical details may limit its appeal to technically rigorous candidates. The company’s emphasis on diversity and growth is commendable, but the job summary fails to highlight specific tools or frameworks, making it difficult to assess the role’s technical merit. Generated content Technology used DWH BI AI/ML Analytics Data Modelling Computer Science SQL Java Python Listed At 2025-12-28 2025-07-28 (original listing) Similar Jobs Loading... Permalink View original posting
data engineer Big Data Engineer Graduate (Data Platform, TikTok Global E-Commerce) - 2026 Start (BS/MS) @ tiktok SG \| 2025-12-28 TikTok's Data Platform Partnering role is pitched as backend engineering for an E-Commerce data platform, turning business requirements into batch and real-time data warehouses, ETL, and data... read more »	DWH, Data Modelling, ETL/ELT, Analytics, DataViz, NLP, AI/ML, Computer Science, SQL, C, Python, Go	Big Data Engineer Graduate (Data Platform, TikTok Global E-Commerce) - 2026 Start (BS/MS) tiktok (SG) FULL TIME \| JOB LISTED TikTok's Data Platform Partnering role is pitched as backend engineering for an E-Commerce data platform, turning business requirements into batch and real-time data warehouses, ETL, and data products. You’ll model data, write and tune ETL jobs, build metrics with business teams, apply data mining, NLP, and ML to large datasets, and deliver visual reports. The stated offer is generous on scope but sparse on tooling: no specifics on cloud, frameworks, or observability—yet it demands strong SQL and one of C/C++/Java/Python/Golang, plus data-centric coding. It’s a graduate role with 2026 onboarding, rolling reviews, and a two-application limit, which sounds more HR gymnastics than engineering clarity. The challenge is real: end-to-end ownership, releases and upgrades, and cross-team coordination at TikTok’s scale, with governance and privacy under a microscope. Opportunity exists for rapid growth if you tolerate the hype and heat. Generated content Technology used DWH Data Modelling ETL/ELT Analytics DataViz NLP AI/ML Computer Science SQL C Python Go Listed At 2025-12-28 2025-07-28 (original listing) Similar Jobs Loading... Permalink View original posting
data engineer SAS Data Engineer, Data & Analytics, Technology Consulting @ ernstandyoung SG \| 2025-12-27 EY DnA in Singapore seeks a Data Engineer with SAS Viya to own end-to-end data platforms across BI, data warehousing and big data projects. The role demands 5+ years of SAS engineering,... read more »	Analytics, Data Analytics, Go, Big Data, SAS, ETL/ELT, Data Engineering, Agile/Scrum, BI, DWH, Management, Hadoop, Oracle, Tableau, Power BI, Computer Science	SAS Data Engineer, Data & Analytics, Technology Consulting ernstandyoung (SG) FULL TIME \| JOB LISTED EY DnA in Singapore seeks a Data Engineer with SAS Viya to own end-to-end data platforms across BI, data warehousing and big data projects. The role demands 5+ years of SAS engineering, maintenance experience with SAS Base, Enterprise Guide, ESP, Visual Analytics and Data Integration, plus 2+ years handling large data sets in Greenplum/Hadoop/Oracle/DB2 and dashboarding with Tableau or Power BI. You’ll script across DEV to PROD, manage changes, and navigate SDLC or Agile delivery, all while steering stakeholder expectations. EY touts scale, inclusivity and continuous learning, but the core tech is squarely SAS-heavy in a region where cloud-native, open-source platforms are the current lingua franca. The opportunity mixes governance, complex ETL, and client-facing consulting with a potentially niche salary conversation and a long runway for specialization. Generated content Technology used Analytics Data Analytics Go Big Data SAS ETL/ELT Data Engineering Agile/Scrum BI DWH Management Hadoop Oracle Tableau Power BI Computer Science Listed At 2025-12-27 2025-10-24 (original listing) Similar Jobs Loading... Permalink View original posting
data engineer Big Data Engineer Intern (Data Platform, TikTok Global E-Commerce) 2026 Start (BS/MS) @ tiktok SG \| 2025-12-27 TikTok’s Data Platform Business Partnering internship promises a hands-on plunge into scale, from batch and real-time data warehousing to ETL, data modeling, and building data products for... read more »	DWH, Data Modelling, ETL/ELT, Analytics, DataViz, NLP, AI/ML, Computer Science, SQL, C, Python, Go	Big Data Engineer Intern (Data Platform, TikTok Global E-Commerce) 2026 Start (BS/MS) tiktok (SG) INTERNSHIP \| JOB LISTED TikTok’s Data Platform Business Partnering internship promises a hands-on plunge into scale, from batch and real-time data warehousing to ETL, data modeling, and building data products for E-Commerce. The role demands translating business requirements into end-to-end data systems, plus data mining, NLP, and ML on large structured and unstructured datasets, with visualization of findings. It’s heavy on tech ammo—SQL and a mix of C/C++/Java/Python/Golang across pipelines, plus exposure to data-oriented programming and visualization tools. While attractive for students chasing real-world scale, the posting lacks explicit compensation details and mentorship structure, and the internship window is rigid (minimum three months, rolling reviews, two-application limit). It’s a genuine data engineering internship at a high-profile platform, but the hype around data warehouse and ML should be tempered by the reality of real-world tech debt, onboarding complexity, and deliverables. Generated content Technology used DWH Data Modelling ETL/ELT Analytics DataViz NLP AI/ML Computer Science SQL C Python Go Listed At 2025-12-27 2025-07-28 (original listing) Similar Jobs Loading... Permalink View original posting
promoted BigQuery Cost Optimization Guide by Masthead Data The BigQuery Cost Optimization Guide is a valuable resource that offers a deep dive into understanding and managing the complexities of BigQuery costs. It provides practical guidelines and strategies to help you optimize both storage and compute expenses, ensuring you get the most value out of...	Learn More
data engineer Data Engineer @ singaporepsa SG \| 2025-12-27 Chasing a data engineer role that blends ETL, API apps, dashboards, and ML in a hybrid cloud/on‑prem setup, this posting reads as a Swiss Army knife with a dashed budget. The core tech stack is... read more »	Analytics, AI/ML, API, Big Data, Cloud Computing, ETL/ELT, Data Quality, Azure, Management, CI/CD, Computer Science, Data Engineering, DWH, RDBMS, SQL Server, NoSQL, Python, Microsoft, SSIS, Informatica, Data Governance, Power BI, DAX, ADF, Data Lake, SQL, Azure DevOps, TensorFlow, PyTorch, Keras, Hadoop, Hive, Spark, Databricks	Data Engineer singaporepsa (SG) FULL TIME \| JOB LISTED Chasing a data engineer role that blends ETL, API apps, dashboards, and ML in a hybrid cloud/on‑prem setup, this posting reads as a Swiss Army knife with a dashed budget. The core tech stack is Azure‑heavy: Data Factory, Data Lake Storage, App Service, Azure SQL, plus CI/CD via Azure DevOps, and a mandate to deploy ML in production. On the data side you’ll design relational, NoSQL, and big‑data pipelines using Python, SSIS or Informatica IPC, with scraping tools like BeautifulSoup or Scrapy and dashboards in Power BI. The workload spans data quality, governance, and security while optimizing cost and performance. Requirements demand 2–3 years of data engineering or software experience, solid communication, and self‑start energy, which is ambitious given the breadth. It’s a full‑stack data role in a market that values specialization; beware the scope creep and vendor hype. Generated content Technology used Analytics AI/ML API Big Data Cloud Computing ETL/ELT Data Quality Azure Management CI/CD Computer Science Data Engineering DWH RDBMS SQL Server NoSQL Python Microsoft SSIS Informatica Data Governance Power BI DAX ADF Data Lake SQL Azure DevOps TensorFlow PyTorch Keras Hadoop Hive Spark Databricks Listed At 2025-12-27 2025-10-01 (original listing) Similar Jobs Loading... Permalink View original posting

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