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Must have Skills: AWS Glue, Sodacore, Lakehouse architecture, CDC, Medallion design principles
Key Responsibilities
- 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.
- Optimize Glue job performance (DPU allocation, parallelization, partitioning) according to best practices.
- Collaborate with platform teams to ensure tooling and optimization alignment.
- 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.
- 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.
- 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
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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.
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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.
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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.
