Databricks Developer

About the role

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.

Location: Hanover, NJ (3 days/week from office).

Responsibilities

• Data Engineering Development
  • Develop and maintain scalable data pipelines using Databricks
  • Build and optimize ETL/ELT workflows for batch and real-time data processing
  • Develop data solutions using PySpark, Spark SQL, and Databricks notebooks
  • Implement Delta Lake solutions to ensure data reliability, performance, and governance
  • Integrate data from multiple sources including databases, APIs, files, and streaming platforms
• Databricks Platform Management
  • Develop and maintain Databricks workflows, jobs, and clusters
  • Implement Lakehouse architecture and medallion data models (Bronze, Silver, Gold)
  • Monitor and optimize Databricks workloads for performance and cost efficiency
  • Configure and manage notebooks, libraries, and automated deployments
• Data Modeling, Analytics, Cloud Integration
  • Design and implement data models to support reporting, analytics, and machine learning initiatives
  • Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements
  • Create reusable data assets and transformation frameworks
  • Support advanced analytics and AI/ML use cases
  • Work with cloud platforms such as Azure, AWS, or GCP
  • Integrate Databricks with cloud-native storage and services
  • Implement CI/CD practices for data engineering solutions
  • Ensure secure and efficient data movement across enterprise systems
• Data Governance & Quality
  • Implement data quality checks and validation frameworks
  • Ensure compliance with data governance, security, and privacy standards
  • Support metadata management, lineage, and monitoring solutions
  • Troubleshoot and resolve data processing issues

Pay

The base compensation range for this role in the posted location is $105,000 - $115,000. Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The actual compensation offered may fall outside of the posted range and will be determined based on factors such as geographic location, education, qualifications, certifications, relevant experience, skills, seniority, performance, market considerations, and internal pay equity. In addition to base salary, this role may be eligible for variable incentives, bonuses, or commissions, depending on the position and applicable laws.

Benefits

Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits may include:

• Paid time off based on employee grade (A-F):
  • Vacation: 12-25 days, depending on grade
  • Company-paid holidays
  • Personal days
  • Sick leave
• Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
• Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
• Life and disability insurance
• Employee assistance programs
• Other benefits as provided by local policy and eligibility