Design and maintain scalable data pipelines on Azure Data Factory, Databricks, and Data Lake.
Develop and optimize data workflows using SQL, Python, and PySpark.
Collaborate with cross-functional teams to define data requirements.
Implement and manage data models across storage and processing layers.
Ensure high performance and reliability of data systems through tuning.
Maintain code quality with Git and DevOps practices.

🎯 Requirements

4-5 years of experience in Azure-based data engineering.
Proficient in SQL with advanced queries and tuning.
Skilled in Python for data manipulation and automation.
Experienced in PySpark for large-scale processing.
Strong data modeling skills: relational, dimensional, big data.
Git and version control practices in teams.

🎁 Benefits

Medical, dental, and vision insurance.
401(k) with company match.
Paid time off (PTO).
Flexible work environment and growth opportunities.

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