Azure Data Engineer - Pan India - 26 Jun (Friday)- Virtual- 4-7 years

Required Skill Set: Data Lake architecture, Azure Services ADLS, ADF, Azure Databricks, Synapse

ADF, ADB, SQL, Pyspark, python

Good Knowledge of Data Brick lake house and Azure Data Lake concept • Knowledge of Data Bricks delta concept

Delta live tables (DLT)

• Strong hands-on experience in ELT pipeline development using Azure Data factory and Databricks Autoloader, Notebook scripting and Azure Synapse Activity Copy, Data Flow Task
• Strong knowledge of metadata-driven data pipeline, metadata management, dynamic logic
• In-depth knowledge of data storage solutions, including Azure Data Lake Storage (ADLS), and Azure Serverless SQL Pool.
• Experience with data transformation using Spark, and SQL technologies.
• Solid understanding of design patterns, and best practices of the cloud stack.
• Experience with code management and version control using Git or similar tools.
• Strong problem-solving and debugging skills in ETL workflows and data pipelines.
• Strong understanding of Azure Data bricks and Azure Synapse internals features and capabilities.
• Knowledge of Azure DevOps and continuous integration and deployment (CI/CD) process.
• Knowledge of data quality and data profiling techniques, with experience in data validation and data cleansing.

HR - Talent Acquisition Group

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