Key Responsibilities:
- Python Proficiency: Expert knowledge of Python, including data-centric libraries like Pandas, NumPy, and PySpark.
- Big Data Ecosystem: Hands-on experience with handling large data systems (Data Lake etc)
- Database Mastery: Advanced SQL skills (CTEs, window functions) and experience with NoSQL systems (Mongo etc).
- Cloud Platforms: Experience with major cloud providers (Azure is must) and their data services (e.g., S3, Redshift, BigQuery).
- Software Engineering Best Practices: Mastery of Git, unit testing (JUnit, Pytest), and CI/CD pipelines.
- Problem-Solving: Proven ability to troubleshoot complex, distributed data issues and optimize query performance.
- Communication: Ability to explain technical infrastructure and data lineage to non-technical stakeholders.
Python Data Engineer in Remote at Unknown Company
This position is listed as full time and onsite.