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About the Role

Join Capgemini to empower your career, be supported by a global community, and reimagine what's possible. Help leading organizations unlock technology's value and build a more sustainable, inclusive world.

Responsibilities

• Design and implement scalable data architectures using AWS services (S3, Redshift, Glue, Athena, EMR, DynamoDB).
• Build, optimize, and maintain ETL/ELT pipelines for structured and unstructured data.
• Develop real-time and batch ingestion pipelines using AWS Glue, Lambda, Kinesis, or Kafka.
• Utilize Spark, AWS EMR/Glue, Python, or Scala to build transformation workflows.
• Implement data quality checks, validation rules, and automated error-handling mechanisms.
• Ensure data is optimized for analytics, BI, and ML use cases.
• Build and maintain data lakes on Amazon S3 and data warehouses on Redshift/Snowflake.
• Create and optimize database schemas, partitioning, compression, and performance tuning.
• Manage metadata, cataloging, and data lineage via AWS Glue Data Catalog or similar tools.
• Implement CI/CD pipelines for data workflows using CodePipeline, CodeBuild, GitHub Actions, or Jenkins.
• Use Infrastructure as Code (IaC) tools like CloudFormation or Terraform to automate provisioning.
• Monitor pipelines and infrastructure using CloudWatch, CloudTrail, and AWS Config.
• Apply AWS security best practices, including IAM roles, KMS encryption, VPC networking, and Secrets Manager.
• Maintain compliance with organizational data governance and regulatory standards.
• Ensure data privacy, retention policies, and audit requirements are met.
• Partner with data scientists, analysts, and business teams to understand data requirements.
• Provide technical guidance on AWS data capabilities and architectural best practices.
• Troubleshoot pipeline failures, performance bottlenecks, and data quality issues.

Requirements

• Experience with AWS services S3, Redshift, Glue, Athena, EMR, DynamoDB.
• Experience with ETL/ELT pipeline development.
• Experience with real-time and batch ingestion pipelines using AWS Glue, Lambda, Kinesis, or Kafka.
• Experience with Spark, AWS EMR/Glue, Python, or Scala for transformation workflows.
• Experience with data quality checks, validation rules, and error-handling.
• Experience with data lakes on Amazon S3 and data warehouses on Redshift/Snowflake.
• Experience with database schema optimization, partitioning, compression, and performance tuning.
• Experience with metadata management, cataloging, and data lineage via AWS Glue Data Catalog or similar tools.
• Experience with CI/CD pipelines for data workflows using CodePipeline, CodeBuild, GitHub Actions, or Jenkins.
• Experience with Infrastructure as Code (IaC) tools like CloudFormation or Terraform.
• Experience with monitoring tools like CloudWatch, CloudTrail, and AWS Config.
• Experience with AWS security best practices, including IAM roles, KMS encryption, VPC networking, and Secrets Manager.
• Understanding of data governance and regulatory standards.
• Understanding of data privacy, retention policies, and audit requirements.
• Ability to partner with data scientists, analysts, and business teams.
• Ability to provide technical guidance on AWS data capabilities and architectural best practices.
• Ability to troubleshoot pipeline failures, performance bottlenecks, and data quality issues.

Skills

• AWS
• S3
• Redshift
• Glue
• Athena
• EMR
• DynamoDB
• ETL
• ELT
• Lambda
• Kinesis
• Kafka
• Spark
• Python
• Scala
• CI/CD
• CodePipeline
• CodeBuild
• GitHub Actions
• Jenkins
• Infrastructure as Code
• CloudFormation
• Terraform
• CloudWatch
• CloudTrail
• AWS Config
• IAM
• KMS
• VPC
• Secrets Manager
• Data Governance
• Data Quality
• Data Warehousing
• Data Lakes
• Database Schema Design
• Performance Tuning
• Metadata Management
• Data Lineage

Location

• New Jersey - Onsite Hybrid

Work Type

• Onsite Hybrid

Salary/Compensations

• 80420 to 106050

Benefits

• 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
• 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

About the Company

• 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 340,000 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, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.

Equal Opportunity

• Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace.
• All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.