Description:

Design, build, and maintain reliable data pipelines and analytics-ready datasets.
Troubleshoot data-quality, performance, and production issues independently.

Requirements:

2–5 years of experience in data engineering or ETL development.
Strong SQL skills and hands-on experience with Python or PySpark.
Experience with cloud data platforms and building ETL/ELT pipelines in production.
Good understanding of relational databases, dimensional modeling, and data warehousing.

Skills