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Senior Azure Data Engineer
Senior Azure Data EngineerTata Consultancy Services • Pushkar, IN
Senior Azure Data Engineer

Senior Azure Data Engineer

Tata Consultancy Services • Pushkar, IN
1 hour ago
Job description

Greetings from TCS!

Job Title : Senior Azure Data Engineer

Required Skillset : Azure data factory, data bricks, data lake, automation and performance optimization of ETL.

Location : Gurugram

Experience Range : 6-8 years

Job Description

Must-Have

  • Good Knowledge of Data Brick lakehouse and Azure DataLake 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

Good To Have :

  • Power Shell Knowledge
  • Power BI Knowledge
  • Responsibility of / Expectations from the Role :

  • Conducting technical sessions, design reviews, code reviews, and demos of pipelines and their functionality
  • Developing technical specification for Data pipelines and workflow and getting sign-off from Architect and Stryker leads.
  • Developing, deploying, and maintaining workflows and data pipelines using Azure Data bricks and Azure Synapse.
  • Developing pipeline / notebook for Delta live tables ( DLT) Databricks Auto Loader, Notebook scripting and Azure Synapse Activity Copy, Data Flow Task
  • Writing efficient and high-performing ETL code using PySpark, and SQL technologies.
  • Thanks & Regards,

    Ria Aarthi A.

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