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.
Valuable understanding of data integration and data warehousing.
Solid 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

📌 Data Engineer Ii Bengaluru
🏢 Inxite Out
📍 Bengaluru