at Capgemini
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As a Senior Azure Databricks Engineer, shape data-driven solutions with 4+ years of Azure Databricks experience. Develop end-to-end data pipelines using Azure Data Factory and Azure Databricks. Collaborate cross-functionally to gather requirements, ensuring data quality and architectural best practices. Strong decision-making, problem-solving, and communication skills are crucial. Lead and mentor teams, fostering consensus to achieve goals. Experience with Python, PySpark, Scala, Hive, and distributed data workflows essential. Implement CI/CD pipelines and optimize cloud data architecture.
- Compensation
- Not specified
- City
- Not specified
- Country
- India
Currency: Not specified
Full Job Description
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way youd like, where youll be supported and inspired by a collaborative community of colleagues around the world, and where youll be able to reimagine whats possible. Join us and help the worlds leading organizations unlock the value of technology and build a more sustainable, more inclusive world.
Your Role
- As a senior software engineer with Capgemini, you should have 4 + years of experience in Azure Databricks Engineer with strong project track recordStrong customer orientation, decision making, problem solving, communication and presentation skills.
- Very good judgement skills and ability to shape compelling solutions and solve unstructured problems with assumptions.
- Very good collaboration skills and ability to interact with multi-cultural and multi-functional teams spread across geographies.
- Strong executive presence and spirit.
- Superb leadership and team building skills with ability to build consensus and achieve goals through collaboration rather than direct line authority.
Your Profile
- Design and develop end-to-end data pipelines using Azure Data Factory (ADF) and Azure Databricks (ADB).
- Work with Azure SQL Database, Azure SQL Data Warehouse, and Azure Synapse Analytics.
- Develop data processing solutions using Python, PySpark, Scala, and Hive.
- Build and maintain distributed data workflows on Azure Databricks.
- Implement CI/CD pipelines for data applications.
- Collaborate with teams to gather requirements and deliver high-quality data solutions.
- Ensure data quality, performance tuning, and cloud data architecture best practices.
What youll love about working here
- You can shape your career with us. We offer a range of career paths and internal opportunities within Capgemini group. You will also get personalized career guidance from our leaders.
- You will get comprehensive wellness benefits including health checks, telemedicine, insurance with top-ups, elder care, partner coverage or new parent support via flexible work.You will have the opportunity to learn on one of the industry's largest digital learning platforms, with access to 250,000+ courses and numerous certifications.
About Capgemini
Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2024 global revenues of €22.1 billion.
Make it real | www.capgemini.com
