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About the role
Key Skills Title - Python Azure Lead Python, Flask, Azure functions, Team handling We are looking for • 10+ years relevant data engineering hands on work experience- data ingestion, processing, exploratory analysis to build solutions that deliver value through data as an asset. • Data engineer build ,test and deploy data pipelines efficiently and reliably move data across systems and should be top of latest architectural trends on AZURE cloud. • Folks who understand parallel and distributed processing, storage, concurrency, fault tolerant systems. • Folks who thrive on new technologies, able to adapt and learn easily to meet the needs of next generation engineering challenges. Technical Skills (Must-Have) • Applied experience with distributed data processing frameworks - Spark , Databricks with Python and SQL • Must have worked at least 2 end-end data analytics projects with Databricks Configuration , Unity Catalog, Delta Sharing and medallion architecture. • Applied experience with Azure Data services ADLS , Delta Lake , Delta Live Tables , Azure Storage, RBAC • Applied experience with Unit Testing and System Integration Testing using Python framework. • Applied experience with Devops to design and deploy CI/CD pipelines using Jenkins. • AZURE Data Engineering(DP203) or DATABRICKS certification • Prior working experience with high performance agile team - Scrum , JIRA ,JFrog and Confluence
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