
Python Data Engineer
2 weeks ago
Key Responsibilities:
- Design and develop scalable ETL workflows using Python and Pandas.
- Collaborate with data scientists, analysts, and engineers to support data-driven applications and reporting tools.
Requirements:
- 5-16 years of experience with Python, ETL frameworks, and pipeline automation strategies.
- Strong command of Hive SQL and working with distributed data systems.
Benefits:
- High standards of data quality, reliability, and integrity throughout the pipeline.
What We Offer:
A dynamic environment where you can build large-scale, high-availability systems and make a meaningful impact.
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