ES
Bengaluru, KA, India
PythonJavaSQLAWS
I
Salary not disclosed
Check market pay for comparable Data Engineer roles before applying.
Role overview
Job description
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
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About this listing
- Source: InXiteOut's official careers site · still listed there on 9 Nov 2026
- Posted 17 Aug 2026
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What they are looking for
Skills & requirements
Qualification
B.Sc./BCA/B.Tech/B.E. or any Postgraduate degree
Department · Data Engineering
Hiring company
InXiteOut
Technology
Transform your business with InXiteOut’s cutting-edge AI and data analytics solutions. We help you turn data into actionable insights that drive growth.
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