10.0 - 15.0 years

16 - 20 Lacs

Pune

Work from Office

Design, develop, and deploy data pipelines using Databricks, including data ingestion, transformation, and loading (ETL) processes Develop and maintain high-quality, scalable, and maintainable Databricks notebooks using Python Work with Delta Lake and other advanced features Leverage Unity Catalog for data governance, access control, and data discovery Develop and optimize data pipelines for performance and cost-effectiveness Integrate with various data sources, including but not limited to databases and cloud storage (Azure Blob Storage, ADLS, Synapse), and APIs Experience working with Parquet files for data storage and processing Experience with data integration from Azure Data Factory, Azure Data Lake, and other relevant Azure services Perform data quality checks and validation to ensure data accuracy and integrity Troubleshoot and resolve data pipeline issues effectively Collaborate with data analysts, business analysts, and business stakeholders to understand their data needs and translate them into technical solutions Participate in code reviews and contribute to best practices within the team

Posted 3 weeks ago

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