Data Engineer – Azure & PySpark

Job Summary

We are looking for a Data Engineer with 3+ years of experience in Python/PySpark, SQL, Data Warehousing, and Azure ETL to build scalable and reliable data pipelines.

Key Responsibilities

• Develop and maintain data pipelines using Python/PySpark.
• Build ETL/ELT solutions using Azure Data Factory, Data Lake, Blob Storage, Databricks, Synapse, and Azure SQL.
• Write complex SQL queries, stored procedures, and transformations.
• Collaborate with business and technical teams to deliver data solutions.
• Troubleshoot data and pipeline issues and follow engineering best practices.
• Use Git, Azure DevOps, and Jira for development and project tracking.

Required Skills

• 3+ years of experience in Data Engineering/Data Warehousing.
• Strong Python/PySpark and SQL skills.
• Hands-on experience with Azure data services and ETL.
• Good understanding of data integration and data warehousing.
• Strong analytical, problem-solving, and communication skills.

Preferred

• Azure Databricks/Spark experience.
• Azure Data Engineer certification is a plus.

Role: Data Engineer | Employment: Full-Time, Permanent

Education: B.Sc./BCA/B.Tech/B.E. or any Postgraduate degree