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5 days ago
We are seeking a skilled data engineer with strong expertise in Python and AWS services to design, develop, and optimize data pipelines.
The ideal candidate will have experience with AWS Glue, PySpark, Step Functions, pytest for testing, Git/GitHub for version control, and clear technical documentation.
- Data engineering experience with at least 5 years in the AWS ecosystem.
- Strong coding skills in Python with experience in PySpark.
- Hands-on experience with AWS Glue, Step Functions, and S3.
- Proficiency in pytest for test automation.
- Solid understanding of Git/GitHub workflows.
This role requires collaboration using Git/GitHub for version control, code reviews, and CI/CD integration. The successful candidate will design and develop data pipelines using AWS Glue, PySpark, and Step Functions, implement ETL/ELT processes, manage storage solutions with Amazon S3, write reusable Python code, implement unit tests, create technical documentation, and troubleshoot pipeline issues.
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