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Key Responsibilities:
Design, develop, and maintain data pipelines and ETL/ELT workflows using Azure Data Factory, Databricks, and other Azure services.
Build and manage data lake and data warehouse solutions (e.g., Azure Data Lake, Synapse Analytics).
Optimize data storage, retrieval, and performance across structured and unstructured data sources.
Collaborate with data scientists, analysts, and business users to enable self-service BI and advanced analytics.
Implement data governance, data quality, and security best practices across all data solutions.
Automate processes for monitoring, logging, and performance tuning.
Work in an Agile/DevOps workplace to support CI/CD pipelines for data solutions.
Bachelor's degree in Computer Science, Information Systems,



or related field (Master's preferred).
Proven experience as a Data Engineer with solid expertise in Microsoft Azure ecosystem.
Hands-on experience with:
Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure Data Lake (Gen2)
SQL, Python, PySpark, or Scala
Azure DevOps / Git for CI/CD
Robust knowledge of data modeling, data warehousing, and ETL/ELT concepts.
Experience with performance optimization and big data processing frameworks.
Familiarity with data governance, compliance, and security practices in cloud environments

📌 Database Administrator Pune
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