Amazon Web Services (AWS)

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Amazon Web Services (AWS): the undisputed king of cloud computing, launched in 2006 and never looked back. It competes with Google Cloud Platform, Microsoft Azure, and a bunch
of smaller players you’ve never heard of. AWS’s key differentiator? Scale. It’s everywhere, from startups to Fortune 500s, and it’s got more services than you can shake a stick
at.

With AWS, you can spin up servers, databases, and AI models in minutes, all while paying only for what you use. It’s the go-to for companies that want to scale fast and don’t
mind a bit of complexity. But beware: AWS’s pricing is like a choose-your-own-adventure book, and you might end up in the wrong chapter if you’re not careful. Still, with its
global reach, endless services, and a community that’s bigger than most countries, AWS is the cloud for those who want it all. Just don’t forget to set up your billing alerts.

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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 Trading Analytics Developer @ cryptocom SG \| 2025-12-28 Crypto.com’s Quant Trading role fuses hardcore software engineering with quantitative analytics to trade crypto spots and derivatives in a live, unforgiving market. You’ll build Java and Python... read more »	Java, Python, Kafka, Flink, Cloud Computing, AWS, Kubernetes, Prometheus, Grafana, DataViz, Analytics, C++, Linux, MongoDB	Trading Analytics Developer cryptocom (SG) FULL TIME \| JOB LISTED Crypto.com’s Quant Trading role fuses hardcore software engineering with quantitative analytics to trade crypto spots and derivatives in a live, unforgiving market. You’ll build Java and Python apps for high-throughput, low-latency paths and own event processing stacks—from Kafka and Flink to CEP—while shepherding cloud-native AWS deployments and Kubernetes clusters for fault tolerance. Monitoring is baked in with Prometheus and Grafana, and reporting must stay actionable under pressure. The package favors specialists who can bridge data analysis, system design, and automation across trading, reconciliation, and analytics workflows. The nice-to-haves read like a radar for exotic tech: Aeron, SBE, C++, FPGA, TCP/WebSocket, and MongoDB. What stands out is the explicit blend of streaming fintech engineering with quantitative rigour; what worries is the steep 5-year dual Java/Python bar and a potential culture of rapid-fire delivery. Generated content Technology used Java Python Kafka Flink Cloud Computing AWS Kubernetes Prometheus Grafana DataViz Analytics C++ Linux MongoDB Listed At 2025-12-28 2025-06-18 (original listing) Permalink View original posting
promoted O'Reilly Power BI Learning Master Power BI fast: build basic-to-advanced visuals, apply smart design, use dynamic slicers/filters & new cards, choose the right chart, spotlight key insights, brand and theme reports, and seamlessly publish/share in the Service.	Get Started
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
data engineer Principal Full Stack Engineer @ autodesk SG \| 2025-12-28 Autodesk’s Full Stack Principal Engineer role sits at the hinge of front-end craft and back-end microservices for a data platform, demanding leadership, architectural steerage, and hands-on... read more »	JavaScript, Computer Science, React, Java, Python, Docker, VMware, VirtualBox, Kubernetes, AWS, Cloud Computing, TypeScript, API, Agile/Scrum, Azure, GCP, CI/CD, Management, Git, DevOps, SQL, NoSQL, Analytics, Adobe Analytics, Google Analytics, Data Streaming	Principal Full Stack Engineer autodesk (SG) FULL TIME \| JOB LISTED Autodesk’s Full Stack Principal Engineer role sits at the hinge of front-end craft and back-end microservices for a data platform, demanding leadership, architectural steerage, and hands-on mentoring. Expect React or Vue on the client, Node.js, Java Spring Boot, or Python on the server, with Docker, Kubernetes, and AWS underpinning deployments. The role touts API-first design, RESTful services, and potential GraphQL, along with Twelve-Factor App discipline and micro-frontend patterns, all framed by a data-technology pulse. It’s deep and broad: 8+ years in full-stack work, cloud and CI/CD tooling, and a track record of scalable, secure systems. The salary section is vague—Autodesk hints at bonuses, stock, and a comprehensive package rather than numbers—so market transparency is partial. It’s a standout path for engineers who want influence across data platforms and products, but execution risk remains under big-company cadence. Generated content Technology used JavaScript Computer Science React Java Python Docker VMware VirtualBox Kubernetes AWS Cloud Computing TypeScript API Agile/Scrum Azure GCP CI/CD Management Git DevOps SQL NoSQL Analytics Adobe Analytics Google Analytics Data Streaming Listed At 2025-12-28 2025-05-06 (original listing) Permalink View original posting
data engineer VP, Data Engineer, Data Strategy Group @ gic SG \| 2025-12-27 This role is a high-impact, high-stakes opportunity for a data engineer at GIC, where technical excellence and strategic insight are paramount. The position requires deep expertise in data... read more »	Data Engineering, Analytics, Management, Agile/Scrum, GitHub, Jira, Databricks, Python, dbt, Airflow, AWS, Cloud Computing, Data Analytics, Data Modelling, DataViz, PySpark, SQL, Docker, Kubernetes, DevOps, CI/CD, BI, Tableau, Microsoft, Data Quality	VP, Data Engineer, Data Strategy Group gic (SG) FULL TIME \| JOB LISTED This role is a high-impact, high-stakes opportunity for a data engineer at GIC, where technical excellence and strategic insight are paramount. The position requires deep expertise in data engineering, cloud-native technologies, and business domain knowledge, with a focus on building scalable, secure data infrastructure. The role demands not just technical proficiency but also the ability to translate complex business problems into actionable data solutions. While the job offers the chance to work with cutting-edge tools and influence critical investment processes, it also presents challenges in maintaining alignment with evolving business priorities and ensuring data quality across diverse asset classes. The opportunity to shape GIC’s data foundation and contribute to a globally recognized institution is compelling, but the role demands a strong technical background, agility, and the ability to lead with both innovation and pragmatism. Generated content Technology used Data Engineering Analytics Management Agile/Scrum GitHub Jira Databricks Python dbt Airflow AWS Cloud Computing Data Analytics Data Modelling DataViz PySpark SQL Docker Kubernetes DevOps CI/CD BI Tableau Microsoft Data Quality Listed At 2025-12-27 2025-08-18 (original listing) Similar Jobs Loading... Permalink View original posting
data engineer Senior Data Engineer - QuantumBlack @ quantumblack SG \| 2025-12-27 This role is hyped with promises of growth, mentorship, and a global community, but the description lacks specific technical details and fails to highlight the core technologies and skills... read more »	AI/ML, Python, PySpark, SQL, Airflow, Databricks, Docker, Kubernetes, Cloud Computing, AWS, GCP, Azure, Analytics, Data Science, Data Engineering, Cyber Security, GenAI, RAG, R, C, Agile/Scrum, Computer Science, Scala, Java, Spark, Pandas, NumPy, Matplotlib, Management	Senior Data Engineer - QuantumBlack quantumblack (SG) FULL TIME \| JOB LISTED This role is hyped with promises of growth, mentorship, and a global community, but the description lacks specific technical details and fails to highlight the core technologies and skills required. While it emphasizes a high-performance culture and diverse teams, it does not specify the tools or frameworks the candidate will work with, making it hard to evaluate the actual technical demands. The focus on ‘real-world projects’ and ‘cross-functional teams’ is vague, and the mention of Python, PySpark, and cloud platforms is generic. The job lacks clarity on the technical responsibilities and the nature of the challenges, making it difficult to assess the role’s value and the candidate’s qualifications. Generated content Technology used AI/ML Python PySpark SQL Airflow Databricks Docker Kubernetes Cloud Computing AWS GCP Azure Analytics Data Science Data Engineering Cyber Security GenAI RAG R C Agile/Scrum Computer Science Scala Java Spark Pandas NumPy Matplotlib Management Listed At 2025-12-27 2025-09-09 (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 Data Engineer @ aon SG \| 2025-12-26 Aon’s data engineer role involves building data pipelines, warehouses, and supporting databases with a focus on performance and data modeling, offering a unique access to a broad spectrum of... read more »	Analytics, ETL/ELT, Spark, Databricks, Data Lake, SQL, Data Modelling, DWH, BI, Power BI, Tableau, AI/ML, Data Engineering, Cloud Computing, Management, AWS, Amazon RDS, S3, Agile/Scrum	Data Engineer aon (SG) FULL TIME \| JOB LISTED Aon’s data engineer role involves building data pipelines, warehouses, and supporting databases with a focus on performance and data modeling, offering a unique access to a broad spectrum of global data—the differentiator. However, the role demands over six years of experience and a quick adaptability to new technologies, presenting a risk of not meeting the steep skill and experience requirements. The position emphasizes collaboration with actuaries and developers but does not specify salary details. Generated content Technology used Analytics ETL/ELT Spark Databricks Data Lake SQL Data Modelling DWH BI Power BI Tableau AI/ML Data Engineering Cloud Computing Management AWS Amazon RDS S3 Agile/Scrum Listed At 2025-12-26 2025-12-04 (original listing) Similar Jobs Loading... Permalink View original posting
data engineer Senior Consultant - Data (Data Engineering) @ slalom-consulting SG \| 2025-12-25 A senior data engineer role focusing on designing and operating production-grade data pipelines for Fortune 100 clients, with a notable emphasis on modern data platform best practices. The key... read more »	Analytics, Data Engineering, ETL/ELT, Analytics Engineering, Python, DevOps, CI/CD, Agile/Scrum, Data Modelling, AWS, Kubernetes, Snowflake, Databricks, Spark, Hive, Delta, Iceberg, Vector DB, Airflow, Dagster, Prefect, GitHub, Datadog	Senior Consultant - Data (Data Engineering) slalom-consulting (SG) FULL TIME \| JOB LISTED A senior data engineer role focusing on designing and operating production-grade data pipelines for Fortune 100 clients, with a notable emphasis on modern data platform best practices. The key differentiator is the requirement for experience in vectorization workflows for advanced search, posing a unique technical challenge. A potential risk involves the need for significant proficiency in multiple tools and cloud platforms, which could lead to onboarding delays. Generated content Technology used Analytics Data Engineering ETL/ELT Analytics Engineering Python DevOps CI/CD Agile/Scrum Data Modelling AWS Kubernetes Snowflake Databricks Spark Hive Delta Iceberg Vector DB Airflow Dagster Prefect GitHub Datadog Listed At 2025-12-25 2025-12-03 (original listing) Similar Jobs Loading... Permalink View original posting
data engineer Technology - Application Development, Full Time Analyst, Singapore, 2026 @ citi SG \| 2025-12-25 A two-year analyst program at Citi offers exposure to software development, cloud strategy, and analytics tools, with a unique rotational structure to discover the best fit. The role emphasizes... read more »	Agile/Scrum, Go, Java, Cloud Computing, JavaScript, GenAI, GitHub, TypeScript, Data Analytics, Splunk, Tableau, Adobe Analytics, API, AWS, CI/CD, Jira, Docker, Data Streaming, Kafka, Kubernetes, Computer Science, Management	Technology - Application Development, Full Time Analyst, Singapore, 2026 citi (SG) FULL TIME \| JOB LISTED A two-year analyst program at Citi offers exposure to software development, cloud strategy, and analytics tools, with a unique rotational structure to discover the best fit. The role emphasizes technology-driven projects and continuous learning, but the risk lies in the demanding environment and the need to navigate diverse tech stacks without guaranteed specialization. Salary details are not explicitly provided. Generated content Technology used Agile/Scrum Go Java Cloud Computing JavaScript GenAI GitHub TypeScript Data Analytics Splunk Tableau Adobe Analytics API AWS CI/CD Jira Docker Data Streaming Kafka Kubernetes Computer Science Management Listed At 2025-12-25 2025-12-03 (original listing) Similar Jobs Loading... Permalink View original posting
data engineer Aon Graduate Programme 2026, Singapore - Innovation & Analytics, Data Engineer @ aon SG \| 2025-12-25 Aon offers a two-year graduate programme in which data engineers work within a high-performing team to make data accessible for analytics, building systems for managing raw data; a differentiator... read more »	Analytics, Agile/Scrum, Management, Data Analytics, Python, Java, Scala, SQL, NoSQL, DWH, Snowflake, Databricks, Redshift, ETL/ELT, Cloud Computing, AWS, Azure, GCP, AI/ML	Aon Graduate Programme 2026, Singapore - Innovation & Analytics, Data Engineer aon (SG) FULL TIME \| JOB LISTED Aon offers a two-year graduate programme in which data engineers work within a high-performing team to make data accessible for analytics, building systems for managing raw data; a differentiator is exposure to multiple business areas and stakeholder interaction, while a risk is the potential challenge of navigating ethical implications in data processing. The program emphasizes skills in SQL, NoSQL, ETL, cloud platforms, and AI, with candidates needing fresh graduation and enthusiasm for the field. Generated content Technology used Analytics Agile/Scrum Management Data Analytics Python Java Scala SQL NoSQL DWH Snowflake Databricks Redshift ETL/ELT Cloud Computing AWS Azure GCP AI/ML Listed At 2025-12-25 2025-12-03 (original listing) Similar Jobs Loading... Permalink View original posting
data engineer Data Engineer - QuantumBlack @ quantumblack SG \| 2025-12-25 This role is a high-stakes, high-impact opportunity for a data engineer with a deep technical foundation. The job emphasizes continuous learning, mentorship, and cross-functional collaboration,... read more »	AI/ML, Python, PySpark, SQL, Airflow, Databricks, Docker, Kubernetes, Cloud Computing, AWS, GCP, Azure, C, Analytics, R, GenAI, RAG, Data Quality, Cyber Security, Data Science, Data Engineering, Agile/Scrum, Computer Science, Scala, Java, DevOps, DataOps, MLOps, Pandas, NumPy, Matplotlib, Big Data, Spark, Kafka, Snowflake, AWS Glue, Beam, Flink, Management	Data Engineer - QuantumBlack quantumblack (SG) FULL TIME \| JOB LISTED This role is a high-stakes, high-impact opportunity for a data engineer with a deep technical foundation. The job emphasizes continuous learning, mentorship, and cross-functional collaboration, but the description lacks specificity about the technologies and tools to be used. While the company highlights a global community and world-class benefits, it doesn’t clearly outline the specific technologies or frameworks expected. The focus on ‘right tech for the right task’ suggests a preference for innovation, but the details remain vague. The role is ambitious and aligns with the latest trends in data engineering, yet it lacks the concrete technical specs needed to evaluate its viability for a candidate. It’s a promising position with potential, but the details are too fuzzy to be definitive. Generated content Technology used AI/ML Python PySpark SQL Airflow Databricks Docker Kubernetes Cloud Computing AWS GCP Azure C Analytics R GenAI RAG Data Quality Cyber Security Data Science Data Engineering Agile/Scrum Computer Science Scala Java DevOps DataOps MLOps Pandas NumPy Matplotlib Big Data Spark Kafka Snowflake AWS Glue Beam Flink Management Listed At 2025-12-25 2025-09-09 (original listing) Similar Jobs Loading... Permalink View original posting
data engineer Lead Data Engineer @ kuoksg SG \| 2025-12-23 Lead Data Engineer role promises steering enterprise-grade data pipelines, governance, and a team, while steering the analytics platform toward next-gen AI, with a front-and-center emphasis on... read more »	Analytics, Data Engineering, AI/ML, KPI, Data Modelling, RAG, SQL, Cloud Computing, Data Governance, DevOps, Management, ETL/ELT, Azure, AWS, GCP, Python, Spark, Synapse, Fabric, Databricks, MLOps, Docker, Kubernetes, LLM, Microsoft, Data Analytics, TensorFlow, Computer Science	Lead Data Engineer kuoksg (SG) FULL TIME \| JOB LISTED Lead Data Engineer role promises steering enterprise-grade data pipelines, governance, and a team, while steering the analytics platform toward next-gen AI, with a front-and-center emphasis on RAG, text-to-SQL, and data as innovation fuel. The tech stack reads like a tour of modern data cloud tools: Azure, AWS, or GCP; Synapse or Fabric; Databricks and Spark; SQL and Python; Docker and Kubernetes; plus MLOps and basic AI tooling. What stands out is the combination of hands-on architecture and people leadership, with expected diligence on security, lineage, and production readiness. The risk is scope creep: leadership duties may eclipse deep technical work, and genuine ROI on RAG/text-to-SQL bets remains uncertain. For the right candidate, it’s a trail to influence platform strategy and AI readiness; for the market, a crowded field that often overhypes governance with buzzwords. Generated content Technology used Analytics Data Engineering AI/ML KPI Data Modelling RAG SQL Cloud Computing Data Governance DevOps Management ETL/ELT Azure AWS GCP Python Spark Synapse Fabric Databricks MLOps Docker Kubernetes LLM Microsoft Data Analytics TensorFlow Computer Science Listed At 2025-12-23 2025-10-20 (original listing) Similar Jobs Loading... Permalink View original posting
data engineer Lead, Platform Engineering @ bain-and-company SG \| 2025-12-22 Vector seeks a Lead Platform Engineer to design cloud-based distributed systems, leveraging expertise in cloud engineering, DevOps, and software development. The role’s differentiator is working... read more »	Analytics, AI/ML, Management, Cloud Computing, DevOps, AWS, GCP, IaC, CI/CD, API, Kubernetes, Docker, Computer Science, Azure, Terraform, Pulumi, Ansible, Puppet, Grafana, Prometheus, Splunk, New Relic, Datadog, CloudWatch, GitHub, Jenkins, GitLab, Circle CI, Python, Git, dbt, Beam, Airflow	Lead, Platform Engineering bain-and-company (SG) FULL TIME \| JOB LISTED Vector seeks a Lead Platform Engineer to design cloud-based distributed systems, leveraging expertise in cloud engineering, DevOps, and software development. The role’s differentiator is working across AWS, Google Cloud, and Azure to create scalable AI solutions, but the risk is the requirement for deep, diverse technical experience and the potential for complex client interactions. Salary details are not provided, and the role involves hybrid working. Generated content Technology used Analytics AI/ML Management Cloud Computing DevOps AWS GCP IaC CI/CD API Kubernetes Docker Computer Science Azure Terraform Pulumi Ansible Puppet Grafana Prometheus Splunk New Relic Datadog CloudWatch GitHub Jenkins GitLab Circle CI Python Git dbt Beam Airflow Listed At 2025-12-22 2025-11-11 (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 Assistant Manager, Artificial Intelligence Office @ national-university-health-system SG \| 2025-12-22 NUHS’s Central Data Engineering Office seeks an Executive/Snr Executive/Assistant Manager to design, build, and run cloud-native data pipelines on Databricks and AWS. The role promises scale,... read more »	Data Engineering, Data Analytics, AI/ML, Cloud Computing, Databricks, AWS, Analytics, ETL/ELT, Data Quality, Computer Science, SQL, Python, Java, Scala, DWH, Git, Unix, Linux, DataViz, Tableau, Power BI, Management, Data Governance	Assistant Manager, Artificial Intelligence Office national-university-health-system (SG) FULL TIME \| JOB LISTED NUHS’s Central Data Engineering Office seeks an Executive/Snr Executive/Assistant Manager to design, build, and run cloud-native data pipelines on Databricks and AWS. The role promises scale, reliability, and discoverability, but it’s essentially data engineering 101 dressed in corporate ambition: ETL hygiene, data quality, and timely availability for analytics. You’ll translate business requirements into specs, collaborate with data scientists and analysts, and design data models while debugging pipeline issues. Technical meat includes Databricks, SQL, Python/Java/Scala, Git, Unix/Linux, and BI tools like Tableau or Power BI. Familiarity with data warehousing concepts, governance, and security is essential. The ladder—from Analyst to Assistant Manager—implies leadership without strong mandate; healthcare context is a plus but not a guarantee of meaningful data maturity. It’s solid, not revolutionary, but with real cloud stacking and governance noise. Generated content Technology used Data Engineering Data Analytics AI/ML Cloud Computing Databricks AWS Analytics ETL/ELT Data Quality Computer Science SQL Python Java Scala DWH Git Unix Linux DataViz Tableau Power BI Management Data Governance Listed At 2025-12-22 2025-08-15 (original listing) Permalink View original posting

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Data Engineer @ charles-&-keith-singapore-pte-ltd

Trading Analytics Developer @ cryptocom

O'Reilly Power BI Learning

SVP, Operations Lead of Database and Data Platforms, Technology Group @ gic

Principal Full Stack Engineer @ autodesk

VP, Data Engineer, Data Strategy Group @ gic

Senior Data Engineer - QuantumBlack @ quantumblack

Masthead Data

Data Engineer @ aon

Senior Consultant - Data (Data Engineering) @ slalom-consulting

Technology - Application Development, Full Time Analyst, Singapore, 2026 @ citi

Aon Graduate Programme 2026, Singapore - Innovation & Analytics, Data Engineer @ aon

Data Engineer - QuantumBlack @ quantumblack

Lead Data Engineer @ kuoksg

Lead, Platform Engineering @ bain-and-company

BigQuery Cost Optimization Guide by Masthead Data

Assistant Manager, Artificial Intelligence Office @ national-university-health-system