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Principal Engineer leading the design and implementation of HTX’s AI Data Platform, building scalable pipelines and governance to fuel AI models for Singapore’s Home Team.
Builds and maintains scalable, secure data pipelines and AI/ML infrastructure for a global financial services firm, focusing on data governance, cloud integration, and microservices while collaborating with business units to drive analytics and insights.
Build and maintain scalable data pipelines, warehouses, and ETL/ELT workflows using Python, SQL, and cloud platforms to power analytics and AI products.
Build and maintain ETL pipelines, optimize databases, and design data warehouses to support BI and analytics for a retail company.
Build and maintain real-time data pipelines and databases for IoT, MES, and ERP systems, using Airflow for scheduled workflows and ensuring data reliability and security.
Designs and maintains data pipelines and PostgreSQL databases for a manufacturing group, automating workflows with Airflow to support real-time monitoring and reporting.
Design and build data pipelines and microservices to feed AI systems, ensuring data quality and reliability for a web/mobile development agency.
Design, build, and maintain scalable data pipelines on Google Cloud Platform using BigQuery and Apache Airflow to power real-time analytics for financial clients.
Build and maintain ETL pipelines and a centralized customer data platform using Python, SQL, and data warehousing tools to ensure reliable, structured data for analytics and decision-making.
Designs, builds, and maintains scalable data pipelines on GCP using BigQuery and Airflow, enabling real-time analytics for internal and client teams.
Build and maintain a Snowflake-based data stack using Airflow and dbt, migrating ETL jobs to robust DAGs and optimizing pipelines for performance and cost.
Senior Data Engineer builds and maintains Snowflake-based pipelines using Airflow and dbt, migrating ETL jobs and ensuring zero-downtime reliability for BI tools.
Design and build scalable ETL pipelines in Python, Airflow, and dbt on Snowflake, ensuring zero-downtime BI delivery and robust data modeling for AI-ready analytics.
Senior Data Engineer builds and maintains scalable data pipelines and cloud platforms (Databricks, Snowflake, Azure/AWS) using Python, PySpark, and SQL to support enterprise analytics and reporting in banking and healthcare.
Senior Data Engineer builds and optimizes Snowflake-based data pipelines using Medallion Architecture, Airflow, and dbt to ensure reliable, zero-downtime ETL for BI tools.
Designs and maintains Snowflake-based ETL pipelines using Airflow and dbt, ensuring high availability for BI tools and preparing an AI semantic layer.
Design and optimize data pipelines using Airflow, dbt, Python, and SQL to build reliable, analytics-ready datasets in Snowflake.
Senior Data Engineer builds and maintains ETL pipelines using Airflow, dbt, and Snowflake to power BI tools and ensure reliable data flow across global teams.
Build and maintain dbt models and a semantic layer in Snowflake to turn business questions into trusted, self-serve analytics for GTM or post-sales domains at a cloud platform powering 300k+ sites.
Senior Analytics Engineer builds trusted, business-ready data models and semantic layers in Databricks to power dashboards, Genie spaces, and AI-driven self-serve analytics for product and business decisions.
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