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Build and optimize a global payment data warehouse, pipelines, and AI apps (LLM agents, RAG, analytics) for ByteDance’s fintech business.
Build and optimize data pipelines and real-time systems for a bank using Java, Spark, Python, and Hadoop ecosystem tools to support AI-driven analytics and risk scoring.
We are looking for an experienced Data Engineer (Cloud) to join our growing team. The ideal candidate should have hands-on expertise in designing and developing cloud-based data solutions using AWS, Databricks, Python,…
Builds and optimizes Shopee’s e-commerce data warehouse and real-time analytics systems using big data tools (Spark, Flink, Kafka) and SQL, while exploring AI-driven data solutions.
Design and build cloud-based data analytics infrastructure using AWS, Databricks, and IDMC, focusing on healthcare data pipelines and ETL/ELT workflows.
Lead a team to design and build Microsoft BI solutions (ETL, SSAS Tabular, Power BI) for banking domains, optimizing SQL Server performance and mentoring engineers.
Lead a team to build and maintain scalable ETL pipelines and cloud data platforms for government projects using AWS services like S3, Glue, and Redshift.
Build and scale the data platform powering Unravel Carbon’s AI-driven decarbonization engine, converting client data into supply-chain carbon footprints and automating regulatory reports.
Builds ETL/ELT pipelines in Python and SQL to process mobile, IoT, and app data, then visualizes results in Tableau or Power BI.
Build and own the next-generation data platform for a fast-growing startup, integrating MongoDB, Google Analytics, CRM, and financial systems to deliver reliable, actionable insights across teams.
Build and maintain scalable ETL pipelines and data warehouses to power TikTok’s ad platform, ensuring high-quality data for advertiser insights and decision-making.
Build and maintain data pipelines and infrastructure for AI models that optimize Singapore’s transport network, ensuring high-quality, real-time data from sensors and systems is reliably ingested and governed.
Build and maintain cloud-native data pipelines and Snowflake-based data warehouse for a fintech client, using ELT and dimensional modeling to deliver analytics-ready data.
Architect and maintain scalable data pipelines and warehouses (Snowflake, Redshift, Athena) to power analytics and AI workflows, using Python, SQL, Airflow, and Kafka.
Designs and maintains scalable data pipelines, ETL processes, and warehouses for mission-critical systems, using tools like Informatica, Spark, and Python to support analytics and AI-driven decision support.
Builds and maintains data pipelines and infrastructure for a Singapore government learning institution, integrating APIs and optimizing cloud-based storage for analytics and reporting.
Design and maintain cloud-based data pipelines and analytics platforms on Microsoft Azure, integrating AI/ML workflows and ensuring data quality and governance.
Build and optimize scalable data pipelines for AI models in Shopee’s e-commerce platform, focusing on multimodal data processing, closed-loop evaluation, and foundation model improvements.
Design and build scalable on-premise data pipelines and lakehouse solutions using Python, PySpark, and SQL Server to power data-driven decisions across a global banking group.
Senior Data Engineer builds and maintains on-premise data pipelines and lakehouse solutions using Python, PySpark, SQL Server, and Kubernetes to enable data-driven decisions across a global banking group.
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