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Snowflake Data Engineer for AI-Driven Warehousing
Design and maintain ETL/ELT pipelines and data warehouses using Snowflake, Redshift, and dbt to power analytics and AI-driven insights.
Data Engineer (Snowflake).
Build and maintain cloud-native data pipelines and dimensional models in Snowflake for a modernized enterprise data warehouse on AWS, focusing on ingestion, ELT, and production-ready analytics.
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.
Senior Software Engineer — AI & Data Solutions for Manufacturing
Leads AI and data projects to optimize manufacturing workflows, integrating tools with C#, Angular, NestJS, SQL Server, and Snowflake.
Data Engineer for AI‑Driven Public Platforms
Design and scale enterprise-grade data pipelines and platforms for GeBIZ X, a government procurement product, while integrating AI/ML capabilities to drive insights and decision-making for public officers and suppliers.
Data Engineering Intern: Build Pipelines & Models
Build and maintain data pipelines and workflows using Python, SQL, and tools like Airflow or DBT to support data-driven decision-making.
Senior Data Engineer - Automation & Snowflake Pipelines
Senior Data Engineer builds automated data pipelines and Snowflake integrations for a regulated banking environment, enabling scalable data onboarding and ML deployments.
Senior Data Engineer (ETL, Modeling)
Design and maintain scalable data models and ETL pipelines for a global fintech platform, ensuring clean, reliable data for analytics and AI use cases.
Data BAU Lead — Cloud Data Engineering
Oversee cloud data engineering operations, maintain platform stability, and migrate legacy workloads to Snowflake, Spark, and AWS Glue while leading a production support team.
Data Engineer
Build and maintain scalable data pipelines in Python and AWS to feed AI platforms and BI tools, ensuring high-quality data for analytics and decision-making.
data engineering - Java and Snowflake
Build and operate cloud-native data pipelines and AI solutions using Java, AWS, and Snowflake, designing scalable, secure data products for enterprise clients.
Data Engineer III - Python/Spark/AWS
Build and maintain scalable data pipelines and cloud-native analytics platforms using Python, Spark, and AWS services to support JPMorgan’s global consumer banking operations.
Assistant Manager, Data & AI (AI Engineer)
Build and deploy AI applications (e.g., conversational assistants, RAG systems) and data pipelines for a Singapore government agency, ensuring security compliance and operational reliability.
Data Engineer
Design and build data pipelines, warehouses, and lakes for enterprise clients, using SQL, Python, and cloud platforms like Snowflake.
Senior Data Engineer
Build and scale the data platform powering Unravel Carbon’s AI-driven decarbonization engine, designing pipelines, warehouses, and quality checks to convert accounting data into supply-chain carbon insights.
Data Engineer
Designs and builds scalable AWS and Databricks data pipelines for public-sector and enterprise clients, using PySpark, SQL, and real-time tools like Kafka to power analytics and decision-making.
Consultant - Data Engineer (AI-Enabled Data Engineering)
Design and build AI-ready data platforms and ML pipelines for analytics, GenAI, and RAG systems on AWS/Azure/GCP, ensuring production-grade delivery and MLOps practices.
Senior Data Engineer
Senior Data Engineer builds scalable Snowflake pipelines and reusable ingestion frameworks for a fast-growing digital bank, optimizing cost and reliability across Singapore and Indonesia.
Data Engineer
Build and migrate data pipelines using SQL and dbt Core, moving legacy systems to Snowflake in a cloud migration program for a large enterprise analytics platform.
Senior Data Engineer — AI-Driven Data Platform (Hybrid)
Design and operate scalable data pipelines and AI-enabled infrastructure using Snowflake, dbt, Iceberg, and ClickHouse on AWS to power analytics and product decisions.