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Azure Databricks Engineer
Azure Databricks EngineerConfidential • Bengaluru / Bangalore, India
Azure Databricks Engineer

Azure Databricks Engineer

Confidential • Bengaluru / Bangalore, India
12 days ago
Job description

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

Your Role

  • Designing and developing end-to-end data pipelines using Azure Data Factory and Databricks, PySpark, SQL, Delta Lake, azure data lake Building and optimizing ETL workflows for ingestion, transformation, and loading of structured and semi-structured data into Azure Synapse Analytics and ADLS.
  • Implementing data validation and quality frameworks to ensure data reliability.Writing efficient PySpark and SQL code for complex transformations, aggregations, and performance tuning.
  • Managing secure access using Azure Key Vault, role-based permissions, and compliance best practices.
  • Working in an Agile / Scrum environment, delivering solutions aligned with business needs, currently as part of Cognizant's Data Engineering practice.
  • Very good judgement skills and ability to shape compelling solutions.
  • Very good collaboration skills and ability to interact with multi-cultural and multi-functional teams spread

Your Profile

  • Should have 4+ years of experience in Azure Databricks with strong pyspark experience
  • Experience with Azure Data Bricks, Data Factory
  • Experience with Azure Data components such as Azure SQL Database, Azure SQL Warehouse, SYNAPSE Analytics
  • Experience in Python / Pyspark / Scala / Hive Programming.
  • Experience with Azure Databricks / ADB
  • Experience with building CI / CD pipelines in Data environments.
  • What You'll Love About Working Here

    Choosing Capgemini means having the opportunity to make a difference, whether for the world's leading businesses or for society. It means getting the support you need to shape your career in the way that works for you. It means when the future doesn't look as bright as you'd like, you have the opportunity to make change : to rewrite it. When you join Capgemini, you don't just start a new job. You become part of something bigger. A diverse collective of free-thinkers, entrepreneurs and experts, all working together to unleash human energy through technology, for an inclusive and sustainable future. At Capgemini, people are at the heart of everything we do! You can exponentially grow your career by being part of innovative projects and taking advantage of our extensive Learning & Development programs. With us, you will experience an inclusive, safe, healthy, and flexible work environment to bring out the best

    in you! You also get a chance to make positive social change and build a better world by taking an active role in our Corporate Social Responsibility and Sustainability initiatives. And whilst you make a difference, you will also have a lot of fun.

    Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.

    Skills Required

    Hive, Azure Data Factory, Scala, Azure Synapse Analytics, Pyspark, Azure Data Lake, Databricks, Python, Sql

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