FSSBU - AWS Data Engineer - C1 - (BARC)

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.

Job Location : Whippany, NJ (Onsite/Hybrid from Day 1) Job Description We are seeking a skilled AWS Data Engineer to design, build, and maintain scalable cloud-based data solutions on AWS. The ideal candidate will have experience developing data pipelines, managing data lakes and warehouses, implementing automation, and ensuring secure, high-quality data platforms that support analytics, business intelligence, and machine learning initiatives.

Key Responsibilities

• Design and implement scalable data architectures using AWS services such as S3, Redshift, Glue, Athena, EMR, DynamoDB, Lambda, and Kinesis.
• Build, optimize, and maintain ETL/ELT pipelines for structured and unstructured data.
• Develop real-time and batch data ingestion solutions using AWS-native technologies and Kafka.
• Utilize Python, Spark, Scala, AWS Glue, and EMR for data processing and transformation.
• Build and manage data lakes on Amazon S3 and data warehouses on Redshift or Snowflake.
• Optimize data models, database performance, partitioning, and storage strategies.
• Implement CI/CD pipelines, Infrastructure-as-Code (Terraform/CloudFormation), and DevOps best practices.
• Monitor and troubleshoot data pipelines, infrastructure, and performance issues using CloudWatch and related AWS services.
• Apply AWS security best practices, including IAM, KMS, VPCs, and Secrets Manager.
• Ensure compliance with data governance, privacy, audit, and regulatory requirements.
• Collaborate with data scientists, analysts, and business stakeholders to deliver scalable data solutions.

Required Qualifications

• Bachelor’s degree in Computer Science, Information Technology, Engineering, or related field.
• 5+ years of experience in data engineering and cloud-based data platforms.
• Strong hands-on experience with AWS data services and cloud architecture.
• Proficiency in Python, SQL, Spark, and ETL/ELT development.
• Experience with Redshift, Snowflake, data lakes, and real-time data processing frameworks.
• Knowledge of Terraform/CloudFormation, CI/CD pipelines, and DevOps practices.
• Strong problem-solving, communication, and stakeholder management skills.

Preferred Qualifications

• AWS Certified Data Engineer, Solutions Architect, or related AWS certification.
• Experience with Kafka, Airflow, and modern lakehouse architectures.

The base compensation range for this role in the posted location is: 78628-95278

Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.

The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.

These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.

It is not typical for candidates to be hired at or near the top of the posted compensation range.

In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.

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

• Paid time off based on employee grade (A-F), defined by policy: 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…