Databricks Data Engineer

Capgemini • New York, NY

17h • $58,903 - $75,464

About The Position

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.

Requirements

• Strong communication skills with the ability to explain technical concepts to business and technical stakeholders.
• Excellent analytical and problem-solving skills to identify and resolve complex data challenges.
• Experience working in Agile/Scrum environments and participating in sprint planning, stand-ups, and retrospectives.

Responsibilities

• Design build and optimise scalable data pipelines and ETLELT workflows using Databricks Unity Catalog Delta Live Tables Workflows Asset Bundles Apache Spark and Scala to process large volumes of structured and unstructured data
• Architect and manage data lakehouse solutions leveraging Apache Iceberg and Delta Lake for table format management versioning time travel and efficient data storage and retrieval at scale
• Build and maintain robust backend data services and APIs integrating Databricks with downstream systems enabling realtime and batch data consumption across enterprise platforms
• Collaborate with data architects analysts and engineering teams to define data models establish best practices and drive continuous improvement across the data platform

Benefits

• Vacation: 12-25 days, depending on grade
• Company paid holidays
• Personal Days
• Sick Leave
• Medical, dental, and vision coverage
• Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
• Life and disability insurance
• Employee assistance programs

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed