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.
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Develop and maintain data pipelines using Python/PySpark.
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Build ETL/ELT solutions using Azure Data Factory, Data Lake, Blob Storage, Databricks, Synapse, and Azure SQL.
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Write complex SQL queries, stored procedures, and transformations.
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Collaborate with business and technical teams to deliver data solutions.
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Troubleshoot data and pipeline issues and follow engineering best practices.
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Use Git, Azure DevOps, and Jira for development and project tracking.
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3+ years of experience in Data Engineering/Data Warehousing.
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Strong Python/PySpark and SQL skills.
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Hands-on experience with Azure data services and ETL.
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Good understanding of data integration and data warehousing.
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Strong analytical, problem-solving, and communication skills.
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Azure Databricks/Spark experience.
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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
