
Senior Data Engineering Professional
2 days ago
We are seeking a highly skilled Freelance Data Engineer to design and develop efficient data pipelines using AWS services like Glue, Step Functions, and PySpark.
The ideal candidate will have at least 5 years of experience in the AWS ecosystem and strong coding skills in Python with expertise in PySpark.
A solid understanding of Git/GitHub workflows and proficiency in pytest for test automation is also required.
Additionally, the successful candidate will have hands-on experience with AWS Glue, Step Functions, and S3, as well as strong communication skills with a focus on documentation and knowledge sharing.
Key qualifications include:
- 5–10 years of 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.
- Strong communication skills with a focus on documentation and knowledge sharing.
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