
Scalable Data Engineering Expert
5 days ago
We're seeking a seasoned Data Engineer to design, develop and optimize scalable data pipelines using AWS services.
- Develop efficient data ingestion, transformation and delivery processes for multiple data sources.
- Implement ETL/ELT processes for ensuring data quality and pipeline reliability.
- Optimize storage solutions using Amazon S3 and create reusable Python code for workflows.
- Implement unit and integration tests with pytest and collaborate on Git/GitHub for version control and CI/CD.
The ideal candidate will have:
- 5–10 years of experience in data engineering with at least 5 years in the AWS ecosystem.
- Strong Python skills with PySpark expertise.
- Hands-on experience with AWS Glue, Step Functions and S3.
- Proficiency in pytest for test automation.
This role offers an exciting opportunity to work on complex data projects, collaborate with experts and grow your skills in a dynamic environment.
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Expert Data Architectural Leader
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