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Senior Data Engineer: Big-Data Pipelines & Data Warehousing
Designs and maintains scalable data pipelines, warehouses, and APIs on AWS/Azure/GCP, focusing on extraction, governance, and cloud-based architectures.
M23 - Data Engineer
Build and maintain scalable data pipelines and platforms for geospatial analytics to support education planning and infrastructure decisions using Python, SQL, and cloud-native tools.
M19 - Data Engineer
Designs and maintains scalable ETL/ELT pipelines, cloud data platforms (AWS/Azure/GCP), and Databricks solutions to support enterprise analytics and reporting.
M02 - Data Engineer
Build and maintain secure, scalable data pipelines for health metrics (activity, sleep, food) using Python, ensuring 99.9% reliability and compliance with governance standards.
Senior Data Engineer
Design and maintain scalable ETL pipelines and data models for insurance analytics using Hadoop, Spark, and cloud platforms to ensure data quality and business alignment.
Lead Data Engineer
Lead a team to design, build, and maintain scalable ETL pipelines and data models for insurance analytics using Hadoop, Spark, and cloud services.
Senior Data Engineer (Public Sector)
Design and build scalable cloud data pipelines and lakehouse architectures for a government project, using Python, Spark, Kafka, and AWS services.
Senior Software Engineer
Builds and owns large-scale data products handling petabytes of data, distributed systems, and ML pipelines to power advertising analytics and decision-making.
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.
Data Engineer-Consultant
Build and maintain scalable data pipelines, master data management systems, and cloud-based analytics infrastructure using Spark, Kafka, and cloud services.
Data Engineer - A25152
Build and maintain scalable data pipelines for health metrics (activity, sleep, food) using Python, ensuring 99.9% reliability and robust governance for public-health insights.
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 Engineer - GenAI for Finance Analytics
Designs scalable data pipelines and BI solutions for Visa’s finance domain, integrating GenAI features like RAG and prompt engineering while ensuring data governance.
Data Engineer (Hedge Fund HFT)
Build and maintain ETL pipelines and data warehouses for a high-frequency trading firm, integrating global equity datasets and ensuring data accuracy for trading and research.
Senior Data Engineer, Compliance Data Infrastructure
Build and maintain scalable data pipelines for a global crypto exchange, enabling AML monitoring, KYC/KYB, sanctions screening, and regulatory reporting with AI-assisted engineering and strict auditability.
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.
Associate AI Engineer / Data Scientist
Build and deploy AI/ML models and analytics solutions to automate financial-assurance workflows using Python, SQL, and Power BI.
Big Data Engineer, Data Ingestion
Build and optimize large-scale data ingestion pipelines for real-time systems using Java/Scala/Python/Go and frameworks like Kafka/Flink to support ByteDance’s global AI-driven products.
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.