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Assistant VP (Data Engineering) - OCBC
Build and maintain cloud-native data pipelines and lakehouse systems using Spark, PySpark, Iceberg, and streaming tools to modernize OCBC’s financial data infrastructure.
Data & Analytics Engineer: AI-Powered Pipelines
Designs and implements AI-powered data pipelines and reporting solutions using Python, PySpark, and ETL tools like Informatica, with dashboards in SAP BO/Tableau.
Data Engineer (Databricks)
Build and maintain scalable data pipelines on Databricks and Azure, integrating diverse sources and ensuring high-quality data for analytics and ML workloads using PySpark, Spark SQL, and Delta Lake.
Senior Data Engineer
Build and maintain scalable data pipelines and infrastructure to power analytics and machine learning at a Southeast Asian AI venture.
AWS Data Engineer
Design and maintain scalable AWS data pipelines using PySpark, AWS Glue, and Lambda to enable analytics and business intelligence.
Senior Data Engineer - AVP
Build and maintain cloud-native data pipelines, lakehouses, and real-time streaming systems using Spark, Iceberg, and cloud services to modernize a bank’s data infrastructure.
Senior Data Engineer – Finance Data Platform
Own end-to-end data pipelines: ingest, transform, and warehouse financial data using PySpark, Hadoop/Flink, and Python/Scala/Java.
Data Engineer (Azure Databricks)
Build and maintain Azure Databricks pipelines and Delta Lake layers, integrate with ADLS Gen2, and support Databricks Genie deployments for self-serve analytics.
Senior Data Engineer (Financial Services)
Senior Data Engineer Consultant builds and validates scalable data pipelines and architectures for enterprise clients, using Databricks, PySpark, and SQL to enable analytics and reporting.
Junior Data Engineer: Build Scalable ETL Pipelines for AI
Build and maintain scalable ETL/ELT pipelines using SQL and PySpark to feed AI and analytics systems in a cloud-based data platform.
Junior Data Engineer
Build and maintain ETL/ELT pipelines and PySpark jobs to feed AI and analytics platforms; write SQL, validate data, and troubleshoot issues in a cloud-based data stack.
Big Data Engineer
Build and optimize big-data pipelines and analytics using Hadoop, PySpark, Scala, and Python to process large-scale datasets and integrate data from multiple sources.
Senior Data Engineer — Lead Data Pipelines & Analytics
Builds and optimizes scalable data pipelines and analytics for telecom platforms using Python, PySpark, and SQL.
Data Engineer
Build and maintain scalable data pipelines and semantic models for Visa’s finance data platform, and operationalize GenAI features like RAG and agent workflows to enhance decision-making across Finance.
Data Engineer - Cognizant
Build and maintain scalable data pipelines using PySpark, AWS Glue, and Step Functions, while automating infrastructure with Terraform and CI/CD.
Databricks Data Engineer
Build and maintain scalable data pipelines on Databricks using PySpark, refactor legacy ETL to modern ELT, and ensure data quality and reliability for analytics.
Data Engineer
Build and maintain data pipelines, models, and Power BI dashboards to deliver reliable healthcare analytics and reporting for hospital operations and decision-making.
Data Engineer
Build and maintain data pipelines, metadata catalogs, and secure data delivery systems for a government health agency using SQL, PySpark, and Azure.
Databricks Data Engineer: Build Scalable Data Pipelines
Build and maintain scalable data pipelines on Databricks and Azure, integrating diverse sources and optimizing ETL/ELT for analytics and ML workloads.
Senior Data Engineer
Build and maintain scalable data pipelines and infrastructure to power analytics and machine learning at a Southeast Asian AI startup.