AWS Data Engineer

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 Description

We are seeking a skilled AWS Data Engineer to design, build, and optimize scalable data pipelines and architectures on the AWS cloud platform. The ideal candidate will have strong experience in data engineering, cloud technologies, and modern data frameworks to support analytics, reporting, and data-driven decision-making.

Key Responsibilities

Design, develop, and maintain scalable ETL/ELT data pipelines using AWS services

Build and manage data lakes and data warehouses (e.g., Amazon S3, Redshift, Glue)

Develop and optimize batch and real-time data processing systems

Ensure data quality, integrity, and governance across systems

Work with stakeholders to translate business requirements into technical solutions

Implement data integration solutions across multiple sources and formats

Monitor and troubleshoot data workflows for performance and reliability

Optimize costs and performance of AWS data infrastructure

Collaborate with data scientists, analysts, and DevOps teams

Required Skills and Qualifications

Bachelors degree in Computer Science, Engineering, or related field

8+ years of experience in data engineering or related roles

Strong hands-on experience with AWS services, including:

o Amazon S3

o AWS Glue

o Amazon Redshift / RDS

o AWS Lambda

o Kinesis (for streaming use cases)

Proficiency in SQL and at least one programming language (Python, Scala, or Java)

Experience with ETL tools and frameworks

Solid understanding of data modeling, warehousing, and big data concepts

Familiarity with distributed processing frameworks (Spark, Hadoop)

Experience with CI/CD pipelines and version control (Git)

Preferred Qualifications

Experience with Apache Spark, Kafka, or Databricks

Knowledge of data governance, security, and compliance

Familiarity with infrastructure as code (Terraform, CloudFormation)

AWS certifications (e.g., AWS Certified Data Engineer / Solutions Architect)

Experience with BI tools (Power BI, Tableau)

Key Competencies

Strong problem-solving and analytical skills

Excellent communication and collaboration abilities

Attention to detail and commitment to data quality

Ability to work in a fast-paced, agile environment

Nice to Have

Experience with machine learning data pipelines

Knowledge of real-time analytics and streaming architectures

Exposure to multi-cloud or hybrid environments

The base compensation range for this role in the posted location is: 1,00,000 to 1,15,000.

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) 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.