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Data Engineer (Data Platform) - Singapore

Singapore💼 Full-time🗓 2026-03-04 → 2026-07-31

Core

Designing and maintaining the data infrastructure to support AI work companion products, ensuring data governance, security, and efficient data pipelines for product and algorithm teams.

Role type

Senior Data Engineer (Data Platform)

Builds

Data warehouse, ETL/ELT pipelines, and data governance tools for AI productivity applications

Domain

AI productivity tools, data infrastructure, cloud data platforms

Deliverable

production ML models | infrastructure

Required skills

Data warehouse development, data modeling, ETL/ELT design, data governance, Hadoop ecosystem (HDFS, MapReduce, Yarn, Hive), Spark, Flink, performance tuning, data platform tools (scheduling, metadata, lineage, DQC, SLA)

Preferred skills

Cloud platforms (AWS, Azure, GCP), data services (S3, EMR, Redshift, Snowflake), AI capabilities in work tasks

Technologies

Hadoop, Spark, Flink, Hive, AWS, Azure, GCP, S3, EMR, Redshift, Snowflake

Responsibilities

Collaborate with product and algorithm teams to define data requirements; Implement data governance, metadata management, and security; Develop and optimize data pipelines and platform tools

Seniority

Mid-Senior, hands-on IC

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