AWS Data Engineer

Responsibilities

- Developing data pipelines and transformation logic using AWS Redshift, Glue, and PySpark
- Designing and maintaining data integration workflows that move information from source systems into analytics-ready environments
- Building reusable ETL components to support cloud-based data modernization initiatives
- Writing and tuning SQL and PySpark code to improve query performance and processing speed
- Validating data quality through checks, reconciliation steps, and troubleshooting of pipeline issues
- Supporting data modeling activities for warehouse and lakehouse structures
- Collaborating with technical and client teams to translate business needs into data engineering tasks
- Applying AWS services and data tooling to help implement scalable data infrastructure
- Documenting pipeline logic, technical dependencies, and deployment steps for ongoing support
- Learning new methods and tools to contribute to delivery across data engineering engagements

What You Must Have

- At least a Bachelor's degree
- At least 3+ years of experience
- Oral and written proficiency in English required