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EEP - AED - AI & Data - Data Engineer - Hong Kong
Senior Data Engineer builds and operates scalable cloud/on-prem data architectures, pipelines, and models to store, integrate, and secure enterprise data assets for AI and analytics workloads.
Software Engineer(Insurance)
Build and deploy cloud-native microservices in Python/Java on Azure, integrating data models, APIs, and Kubernetes for an insurance-focused tech stack.
Senior Java Developer (Digital) (Insurance) - IC
Designs and documents enterprise Java microservices architecture for insurance systems using Spring Boot, Kubernetes, and DevOps practices.
AI Solutions Architect
Designs and owns scalable AI architectures for enterprise clients, blending Azure cloud solutions, Power Platform low-code tools, and agentic AI frameworks like LangGraph and RAG systems.
Data Engineer Level II (Bench) - Snowflake, SQL (Nightshift)
Builds and maintains Snowflake-based ELT pipelines and data warehouses, writes SQL, and automates ETL/ELT processes for an insurance-focused outsourcing team on night shift.
Data Engineer Level II (Bench) - Snowflake, SQL (Nightshift)
Builds and maintains Snowflake-based ELT data warehouses, automates ETL pipelines, and supports night-shift production for an insurance-focused outsourcing team.
Senior Data Platform Engineer (AI & Lakehouse)
Design and implement scalable data platforms (lakehouses, data lakes) and AI foundations for enterprise customers, focusing on governance, quality, and modernization.
Big Data Engineer AWS, Spark & Kafka | Flexible Pay
Build and optimize a corporate data lake using AWS, Spark, Kafka, and Iceberg/Delta Lake to ensure scalable, high-performance data processing.
Finance & Supply Chain Data Engineer - Build Scalable Data Solutions
Designs and builds scalable data pipelines for finance and supply chain systems, ensuring reliable data ingestion and transformation in a warehouse and data lake environment.
Azure Data Engineer: Medallion Arch & PySpark on Databricks
Designs and maintains scalable Azure data pipelines using PySpark, Spark SQL, and Medallion Architecture to power enterprise reporting and analytics.
Database Administrator
Maintains and optimizes MySQL/PostgreSQL databases and ETL pipelines for a fintech firm, ensuring data integrity, performance, and security in a cloud-based Data Lake environment.
Remote Senior Data Engineer — Azure Data & Power BI
Senior Data Engineer builds and maintains Azure-based data pipelines, Power BI reports, and AI solutions for clients, troubleshooting issues and mentoring junior team members.
Remote AWS Data Engineer - Cloud Data Platform Lead
Design and build scalable, cloud-native data pipelines and data-lake architectures on AWS using S3, Glue, Redshift, and Kinesis.
Delta Lake Data Engineer — Remote, Flexible Hours & Growth
Designs scalable Delta Lake data architectures with ACID transactions and time-travel queries, building ETL/ELT pipelines using Spark and Parquet storage.
Full-Stack Data Engineer—Azure Data & App Solutions
Designs and builds Azure-based data pipelines and analytics solutions using Python and SQL, mentors teammates, and collaborates on data-centric applications.
Hybrid Data Architect: Scalable Data Lakes & AI Pipelines
Designs and builds scalable data lakes and AI pipelines in SQL, Python, Spark, and Kafka to support analytics and governance in a hybrid Mandaluyong setup.
Data Management Senior Associate (Data Engineer)
Design and maintain data pipelines, lakes, and governance for a large bank’s mortgage servicing unit, ensuring accuracy and security while collaborating with engineers and analysts.
Lead Data Engineer: PySpark & AWS Data Lakes
Lead a team to design and build ETL pipelines and AWS data lakes using PySpark and Python, integrating data from SAP and SQL sources.
Data Management Senior Associate (Data Engineer)
Own and improve data pipelines for JPMorgan’s Home Lending Servicing, ensuring accurate, secure, and accessible data for analytics and operations using SQL, Python, and AWS.
Senior AWS Data Engineer - Cloud-Native Data Platform
Designs and builds cloud-native data platforms on AWS, focusing on scalable ETL/ELT pipelines and data lake architectures for reporting-ready datasets.