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Popular mid-level data engineer role in Pune with broad Azure skills increases applicant competition.
Azure data engineering skills transfer across industries but require platform-specific experience, so moderate sensitivity.
Explicit 5-8 years plus mandatory Azure Databricks, ADF, Python and SQL requirements make screening strict.
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Design, build, and maintain live data pipelines using Azure cloud services and custom ETL code.
Troubleshoot and debug data engineering solutions in Python, Azure, and SQL in production environments.
Ensure data quality, governance, and master data management (MDM) compliance throughout data workflows.
5-8 years of professional experience in data engineering.
Strong hands-on experience with Azure Databricks, Azure Data Factory, ADLS2, Azure Function Apps, and Logic Apps.
Proficient in Python programming and strong SQL skills across multiple SQL databases.
Experience working on live data pipelines supporting production environments; knowledge of data quality, governance, and MDM concepts.
Experienced in end-to-end Azure-based data engineering implementations including ETL development from scratch.
Capable of troubleshooting complex data pipeline issues in production with strong debugging skills.
Has familiarity or experience with machine learning engineering pipelines and Azure ML services is a plus.