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Data Engineer
Designs and maintains scalable data pipelines and warehouses for a global game publisher, ensuring clean, reliable datasets for analytics and product decisions.
Data Engineer (AWS Glue, redshift, python , AI) - 10k
Build and optimize cloud-native data pipelines and analytics infrastructure using AWS Glue, Redshift, and Python, while integrating AI-driven language model applications.
Data Engineer (CDC & Legal ETL)
Builds and maintains CDC pipelines to sync Singapore’s legal data into a Neo4j knowledge graph, ensuring AI models stay current with statutory changes via automated ETL and validation.
AVP/VP, Data Engineer, Technology Group
Lead data engineering projects to build and maintain investment data platforms using Python, PySpark, AWS, and Databricks, enabling analytics and AI-driven insights for a sovereign wealth fund.
Senior Data Engineering
Build and own a Databricks Lakehouse data warehouse and real-time pipelines for a financial trading business, modeling customer, order, trade, and market data with Kafka, Flink, and Spark.
Data Engineer - AVP/Manager
Design and build scalable cloud-native data platforms for a major bank, using Lakehouse architectures, real-time streaming, and AWS to deliver analytics-ready datasets.
Data Engineer (Mid/Senior)
Build and optimize AI-powered data pipelines for Razer’s gaming products, including feature stores, vector databases, and real-time streaming solutions using Python, Spark, and cloud platforms.
Data Engineer (Public Sector)
Designs and builds secure, scalable data pipelines and cloud infrastructure for a public-sector agency using Python, SQL, and modern DevOps tools.
Data Engineer (AI/ML) Contract
Design and deploy AI/ML systems (Generative AI, NLP, vision, recommendations) using Python, TensorFlow/PyTorch, and cloud tools to solve business problems at scale.
Senior Data Engineer (Founding Data Engineer)
Build and scale a modern data platform for a MAS-licensed fintech bridging fiat and digital payments, using Snowflake/Databricks and Python/Spark to create pipelines and warehouses that power analytics and reporting.
Associate Engineer/Engineer, Data Engineering
Builds and maintains scalable data pipelines and frameworks for ingestion, processing, and storage using big-data tools like Spark, Kafka, and Airflow.
Data Engineer (Financial Services)
Build and optimize data pipelines for financial analytics using cloud platforms, Spark, Kafka, and SQL, ensuring data quality and compliance in a trading environment.
AWS Data Engineer
Build and maintain a data lake using AWS services like Glue, Athena, S3, and Airflow, writing PySpark pipelines for ETL and data modeling.
Data Engineer
Lead a team of data engineers to design, optimize, and maintain AWS-based data platforms (S3, Glue, Snowflake) and Airflow workflows, ensuring stability, security, and alignment with data strategy.
Head, AI Data Solutioning, AI Data Engineering, xData
Leads AI data engineering at a Singapore government agency, designing scalable data pipelines and governance for AI systems that support national security.
Data Engineer II (Modeling, ETL)
Build and maintain scalable data models and ETL pipelines for a global fintech platform, ensuring clean, reliable data for analytics and AI use cases.
Senior Data Engineer
Design and maintain scalable data models and ETL pipelines for a global fintech platform, using SQL, GCP, Databricks, and Airflow to support analytics and AI.
Senior Data Engineer (Founding Data Engineer)
Build and scale a modern cloud data platform for a MAS-licensed fintech bridging fiat and digital payments, using Snowflake/Databricks and Python/SQL pipelines.
Senior Data Engineer: Enterprise Data & AI Pipelines
Designs, builds, and optimizes scalable data pipelines and platforms using SQL, Python, Spark, Airflow, dbt, and AWS services to support analytics and AI initiatives.
Senior Associate/Assistant Vice President, AI Data Engineer
Build AI-ready data pipelines and knowledge systems for an investment firm’s agentic AI, integrating structured financial data, unstructured research, and real-time feeds into vector stores, graph databases, and retrieval pipelines.