Data Engineer

About The Company

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. Capgemini is a global leader in consulting, technology services, and digital transformation, with a rich heritage spanning over 55 years. With a workforce of over 340,000 professionals across more than 50 countries, Capgemini is committed to delivering innovative solutions that drive business success and societal impact. Our expertise spans strategy, design, engineering, AI, cloud, and data, enabling us to support organizations in their digital and sustainable transformation journeys.

About The Role

We are seeking a skilled Data Engineer to join our team in Newark, NJ. This role involves designing, developing, and maintaining scalable data pipelines and lakehouse architectures on Azure cloud platforms. The ideal candidate will have hands-on experience with PySpark on Azure Databricks, Azure Data Factory, and Synapse pipelines. You will collaborate with cross-functional teams to implement data solutions that support analytics, reporting, and machine learning initiatives. Your responsibilities will include optimizing data jobs for performance and cost, ensuring data quality and governance, and supporting production environments through incident management and continuous improvement efforts. This position offers a hybrid work model, requiring three days onsite per week, providing flexibility while maintaining close collaboration with team members and stakeholders.

Qualifications

• Proven expertise in PySpark, including DataFrames, Spark SQL, and performance tuning on Azure Databricks
• Strong SQL skills and experience with data modeling for analytical workloads (star schema, snowflake, lakehouse patterns)
• Experience with Azure Data Factory and Synapse pipelines for data orchestration and scheduling
• Solid understanding of Azure storage solutions such as ADLS Gen2, and experience with file formats like Parquet and Delta Lake
• Knowledge of version control systems, particularly Git, and CI/CD pipelines using Azure DevOps
• Experience operating data pipelines in production environments, including monitoring, alerting, and incident resolution
• Ability to work collaboratively with architecture and platform teams on security, secrets management, and governance
• Excellent documentation skills for lineage, technical design, and governance practices
• Bachelor’s degree in Computer Science, Information Technology, or related field; relevant certifications are a plus
  
  

Responsibilities

• Design and implement batch and streaming data pipelines using Azure Databricks and PySpark
• Develop and optimize Spark SQL transformations for analytics and reporting
• Orchestrate workflows with Azure Data Factory and Synapse pipelines, integrating with Lake Storage solutions
• Model and maintain lakehouse architectures, including Delta Lake, with attention to schema evolution and performance
• Implement data quality checks, observability, and SLAs to ensure reliable data delivery
• Optimize data processing jobs for cost efficiency and performance, including cluster sizing and partition strategies
• Collaborate with architecture and platform teams on CI/CD, secrets management, and security protocols
• Contribute to data governance, metadata management, and documentation of data lineage and technical designs
• Support production release cycles, incident management, and continuous improvement initiatives
  
  

Benefits

• Flexible work arrangements to support work-life balance
• Comprehensive healthcare coverage including dental, vision, and mental health programs
• Retirement savings plans such as 401(k) with company matching
• Paid time off, holidays, and parental leave policies
• Family building benefits including adoption assistance and surrogacy support
• Employee assistance programs and well-being initiatives
• Mentoring, coaching, and professional development opportunities
• Participation in Employee Resource Groups and diversity initiatives
• Disaster relief and community engagement programs
  
  

Equal Opportunity

Capgemini is an Equal Opportunity Employer committed to fostering an inclusive and diverse workplace. We welcome applicants from all backgrounds regardless of race, gender, age, religion, disability, sexual orientation, gender identity, veteran status, or any other characteristic protected by law. We provide reasonable accommodations during the recruitment process and throughout employment to ensure equal access and opportunity for all candidates and employees. Our commitment to diversity and inclusion is integral to our culture and success.