Principal Data Engineer

Principal Data EngineerGet The Future You Want!

Choosing Capgemini means choosing apany where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborativemunity 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:

We are seeking a highly skilled and motivatedData Engineerwith hands-on experience in theAzure Modern Data Platform. The ideal candidate will have a strong foundation inAzure Data Factory, Azure Databricks, Synapse Analytics (Azure SQL DW), and Azure Data Lake, along with proficiency inPython, R, or Scala. This role requires a deep understanding of both traditional and NoSQL databases, distributed data processing, and data transformation techniques.

Design, develop, and maintain scalable data pipelines usingAzure Data Factory,Databricks, andSynapse Analytics. Perform data transformation and analysis usingPython/R/ScalaonAzure DatabricksorApache Spark. Optimize Spark jobs and debug performance issues using tools likeGanglia UI. Work with structured, semi-structured, and unstructured data to extract insights and build data models. Implement data storage solutions usingParquet,Delta Lake, and other optimized formats. Collaborate with cross-functional teams to understand data requirements and deliver high-quality solutions. Ensure data security andpliance withInformation Securityprinciples. Utilize version control systems likeGitHuband follow Gitflow practices. Participate in Agile development methodologies includingSCRUM,XP, andKanban.

Job Profile

10 years of experience with Azure Data Factory, Azure Databricks, Apache PySpark, and Azure Synapse Analytics Strong programming skills in Python, R, or Scala Proficient in NoSQL databases such as MongoDB, Cassandra, Neo4J, CosmosDB, and Gremlin Skilled in traditional RDBMS like SQL Server and Oracle, and MPP systems such as Teradata and Netezza Hands-on experience with ETL tools including Informatica, IBM DataStage, and Microsoft SSIS Excellentmunication and collaboration abilities Proven track record of working with large,plex codebases and Agile development teams Demonstrated leadership in guiding technical teams and mentoring junior engineers Familiar with dataernance and data quality frameworks Certified in Azure Data Engineering or related technologies
About Capgemini

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 350,000 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, cloud, and data,bined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of € billion.

Get The Future You Want | capgemini Job ID TotA7V8FcuEC