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Application Engineer (Financial Services/ Backend support)
Provide application support and backend development for enterprise insurance systems using Java, Python, and AWS, ensuring system reliability and security.
Senior Data Engineer
Design and build scalable data pipelines and cloud-based data platforms to power AI and analytics initiatives using AWS, Spark, and modern orchestration tools.
Senior Data Engineer | Enterprise Data | AI
Designs and builds scalable data pipelines and platforms on AWS to power enterprise analytics and AI initiatives using Python, Spark, and modern cloud tools.
Data Engineer (Cloud)
Design and build cloud-based data pipelines and warehouses using AWS, Databricks, and Informatica to support healthcare analytics and reporting.
Senior Data Engineer - AWS & Snowflake Pipelines
Design and maintain AWS-based ETL pipelines and Snowflake data warehouse to deliver analytics-ready data for BI and business teams.
Sr Data Engineer
Design and build cloud-native data pipelines and AI solutions on AWS and Snowflake, optimizing datasets and automating workflows for production use.
Hybrid Senior Data Engineer: AI-Driven Data Platform
Senior Data Engineer builds AI-native data infrastructure on AWS, Snowflake, dbt and Iceberg to power analytics, experimentation and product decisions.
Lead Data Engineer
Lead a small team to design, build, and scale data pipelines and platforms using Python, SQL, and cloud tools, ensuring reliable data for analytics and ML products.
Senior Data Engineer
Designs and builds scalable data pipelines, warehouses, and Lakehouse solutions for smart-factory analytics, integrating IIoT sensor data and enterprise systems using Python, Spark, and cloud platforms.
Senior Data Engineer
Build and maintain batch/real-time data warehouses and pipelines for a fintech brokerage, using Hadoop, Spark, Kafka, and cloud platforms to power global trading and research.
Data Engineer
Design and maintain scalable data pipelines, ETL/ELT processes, and cloud-based data warehouses using Spark, SQL, and cloud platforms like AWS/Azure/GCP.
Senior Consultant - Data Engineer (AI & ML Data Platforms)
Design and deliver enterprise-scale AI-enabled data platforms, lead engineering teams, and implement cloud-based ML pipelines for clients using AWS, Azure, GCP, Snowflake, and Databricks.
Data Engineer
Build and migrate data pipelines using SQL, dbt Core, and Snowflake for a large analytics platform and cloud migration project.
Senior Data Engineer: Scalable Pipelines & AI Workflows
Architect and maintain scalable data pipelines and cloud infrastructure to power analytics and AI-driven workflows using Snowflake, AWS Redshift, and Athena.
Senior Data Engineer — AI-Driven Data Platform
Build and maintain scalable data pipelines and systems on AWS, Snowflake, and ClickHouse to power analytics, AI, and product decisions at Goodnotes.
Data Engineer
Build and migrate data pipelines using SQL, dbt Core, and Snowflake for a cloud migration program supporting a large enterprise analytics platform.
Data Engineer
Designs and builds ETL/ELT pipelines and data warehouses in Snowflake, Redshift, and open-source tools, using Python, SQL, and dbt.
Senior / Data Engineer (AGC)
Build and maintain AWS-based data pipelines and cloud infrastructure for Singapore’s legal sector, consolidating datasets and preparing data for AI-powered tools like LLMs.
Data Engineer (GeBIZ X)
Build and scale enterprise-grade data pipelines and platforms for GeBIZ X, a government procurement product, while driving AI-enabled analytics and ensuring data governance.
Senior Data Engineer: AI-Driven Data Platform
Designs and builds scalable data pipelines and models for an AI-native analytics platform using Snowflake, dbt, Iceberg, Kafka, and AWS.