Data Engineer
Posted
Summary
AWS Glue Data Engineer on a Data Factory Squad, based between Abu Dhabi and Dubai, builds Bronze-layer ingestion pipelines to migrate source systems into a Lakehouse — writing PySpark/Glue jobs (CDC, full, delta, snapshot loads), tuning DPU/partitioning, and automating deployment via Git and Terraform.
Role: AWS Glue Data Engineer – Data Factory Squad
Location: Abu Dhabi – Dubai Employment Type: Full-time
Overview
We are seeking a skilled AWS Glue Data Engineer to join our Data Factory Squad, responsible for migrating source systems into the Lakehouse ingestion zone. This role focuses on building scalable ingestion pipelines, optimizing performance, and ensuring compliance with architectural and data assurance standards.
Key Responsibilities
- Data Ingestion Development
- Build and implement AWS Glue jobs for Bronze layer ingestion using defined standards and templates.
- Implement correct loading methods based on source requirements (CDC, full load, delta, snapshot).
- Design and execute historical loading mechanisms to bring legacy data into the Lakehouse.
- Performance Optimization
- Optimize Glue job performance (DPU allocation, parallelization, partitioning) according to best practices.
- Collaborate with platform teams to ensure tooling and optimization alignment.
- Migration & Automation
- Aggressively migrate source tables to Bronze layer, initially using manual approaches with standards/templates, later leveraging AI-enabled acceleration.
- Ensure jobs are version-controlled and production deployment is automated via Git and Terraform.
- Governance & Monitoring
- Implement source system connectivity into CDP in collaboration with source system owners.
- Ensure jobs comply with data contracts and are properly monitored.
- Prepare documentation and handover to operational support teams.
- Collaboration
- Work closely with Data Architect for ingestion patterns and standards.
- Coordinate with Data Assurance Lead to apply quality checks across all jobs.
- Partner with platform engineers for tooling and optimization.
Required Skills & Experience
- Technical Expertise
- Strong experience in AWS Glue, PySpark, and ETL pipeline development.
- Knowledge of Lakehouse architecture and Medallion design principles.
- Familiarity with CDC, delta loads, and historical data ingestion strategies.
- Tools & Technologies
- AWS services: Glue, S3, Athena, Lambda.
- Git, Terraform for CI/CD automation.
- Understanding of data quality frameworks (e.g., Soda Core) is a plus.
- Able to identify ways to automate their work / repetitive tasks.
- Soft Skills
- Ability to work in a fast-paced environment and deliver aggressive migration targets.
- Strong collaboration and communication skills.
- Work with Jira and agile way of working.
Preferred Qualifications
- 5+ years in data engineering roles, with hands-on experience in AWS Glue.
- Experience in financial services or banking domain is an advantage.