AWS Data Engineer at Capgemini Portugal

New York, New York, United States -

Full Time

Start Date

Immediate

Expiry Date

21 Feb, 26

Salary

95185.0

Posted On

23 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AWS Services, Data Pipelines, Streaming Solutions, Python, ETL Workflows, Apache Kafka, Data Modeling, SQL, Data Warehousing, CI/CD Pipelines, Infrastructure As Code, CloudFormation, Terraform, Data Quality, Data Security, Data Compliance

Industry

IT Services and IT Consulting

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 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 : New Jersey Job Description We are seeking an experienced AWS Data Engineer to design, build, and optimize scalable data pipelines and streaming solutions. The ideal candidate will have strong expertise in AWS services, real-time data ingestion frameworks, and Python-based ETL workflows. You will collaborate with cross-functional teams to deliver high-quality, secure, and compliant data solutions.Key Responsibilities Design, develop, and optimize data pipelines and streaming solutions using AWS services (Kinesis, Lambda, Glue, S3, Redshift, etc.). Build and maintain real-time data ingestion frameworks leveraging Apache Kafka and Amazon Kinesis. Write clean, efficient, and reusable Python code for ETL processes and data transformations. Implement event-driven and serverless architectures using AWS Lambda. Collaborate with data scientists, analysts, and application teams to deliver robust data solutions. Monitor and troubleshoot data flow and performance issues in production environments. Ensure data quality, security, and compliance with enterprise standards. Required Skills & Experience 5+ years of experience as a Data Engineer or similar role. Strong hands-on expertise with AWS cloud services (Kinesis, Lambda, Glue, S3, IAM, Redshift). Proficiency in Python for data engineering and automation tasks. Experience with Apache Kafka for streaming and messaging pipelines. Solid understanding of data modeling, ETL workflows, and distributed data systems. Working knowledge of SQL and data warehousing concepts. Familiarity with CI/CD pipelines and Infrastructure as Code (IaC) using CloudFormation or Terraform (preferred). Life at Capgemini Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer: • Flexible work • Healthcare including dental, vision, mental health, and well-being programs• Financial well-being programs such as 401(k) and Employee Share Ownership Plan• Paid time off and paid holidays • Paid parental leave• Family building benefits like adoption assistance, surrogacy, and cryopreservation• Social well-being benefits like subsidized back-up child/elder care and tutoring• Mentoring, coaching and learning programs• Employee Resource Groups • Disaster Relief Disclaimer Capgemini is an Equal Opportunity Employer encouraging diversity 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. 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 accommodations do not pose an undue hardship. Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact. Click the following link for more information on your rights as an Applicant http://www.capgemini.com/resources/equal-employment-opportunity-is-the-lawSalary Transparency Capgemini discloses salary range information in compliance with state and local pay transparency obligations. The disclosed range represents the lowest to highest salary we, in good faith, believe we would pay for this role at the time of this posting, although we may ultimately pay more or less than the disclosed range, and the range may be modified in the future. The disclosed range takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to, geographic location, relevant education, qualifications, certifications, experience, skills, seniority, performance, sales or revenue-based metrics, and business or organizational needs. At Capgemini, it is not typical for an individual to be hired at or near the top of the range for their role. The base salary range for the tagged location is $80330 - $95185/yearly. This role may be eligible for other compensation including variable compensation, bonus, or commission. Full time regular employees are eligible for paid time off, medical/dental/vision insurance, 401(k), and any other benefits to eligible employees. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with 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.

Responsibilities

The AWS Data Engineer will design, develop, and optimize data pipelines and streaming solutions using AWS services. They will collaborate with cross-functional teams to deliver high-quality, secure, and compliant data solutions.