FSSBU - AWS Data Engineer - C1 - (BARC)

Capgemini; New York (NY); Hybrid; USD 79,000 - 95,000; Full time

Benefits offered by this job

Paid time off

Health insurance

Retirement plans

Life and disability insurance

Employee assistance programs

Job summary

Capgemini in Whippany, NJ is seeking an AWS Data Engineer to design, build, and maintain scalable cloud data solutions on AWS. You will develop data pipelines, manage data lakes and warehouses, and ensure secure, high‑quality platforms that support analytics, BI, and ML initiatives.

You will use Python, Spark, SQL, and AWS services to implement ETL/ELT, real-time and batch ingestion, CI/CD with Terraform/CloudFormation, and data governance.

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.

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.

Skills

AWS data engineer

Python

SQL

Spark

ETL/ELT

CI/CD

Terraform/CloudFormation

Data governance

Kafka

Cloud architecture

DevOps

Education

Bachelor's degree in CS/IT/Engineering

Tools

AWS S3

Redshift

Glue

Athena

EMR

DynamoDB

Lambda

Kinesis

Snowflake

Terraform

CloudFormation

Airflow

Job description

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 bya 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 organizationsunlock 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.

Benefits

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) in the U.S., RRSP in Canada)
• Life and disability insurance
• Employee assistance programs
• Other benefits as provided by local policy and eligibility

Important Notice:

Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini’s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.

Disclaimers

Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. 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.

This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.

Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.

Click the following link for more information on your rights as an Applicant in the United States. http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law

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.