Data Engineer (AWS & Python)

Data Engineer (AWS & Python)

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: Chicago, IL

Job Responsibilities

Data Pipeline Development: Design, develop, and maintain efficient and scalable API using Python for AWS environment.

Cloud Data Integration: Deploying Python modules in AWS environment.

Data Processing: Build and optimize distributed data processing jobs Python API.

Data Architecture: Contribute to the design and evolution of our modern data architecture, including data lakes (e.g., using AWS S3 with Delta Lake) and data warehouses.

Collaboration: Work closely with data scientists, business analysts, and other engineers to understand data requirements and deliver high-quality data products.

Performance Tuning: Monitor and optimize the performance of Python API jobs and data pipelines to improve efficiency and reduce costs.

Automation and DevOps: Support CI/CD pipelines and infrastructure-as-code practices for deploying data platform solutions.

Data Governance: Ensure data quality, integrity, and security standards are maintained across all data pipelines and platforms.

Communication: Excellent communication and interpersonal skills to collaborate with cross-functional teams.

Problem-Solving: Strong analytical and problem-solving skills to troubleshoot and resolve complex issues.

Cloud Computing: Experience with cloud platforms AWS and containerization technologies like Docker and Kubernetes.

Required Skills

Python, PostgreSQL, AWS, Docker, Kubernetes, NodeJS

5+ years of experience in data engineering, with a strong emphasis on building cloud-based data solutions.

Proven experience with Python API development

Hands-on experience with AWS services.

Demonstrated experience with Developing and deploying Python modules in AWS environment

Hands-on experience with Docker and Kubernetes

Proficiency in SQL for data manipulation and analysis.

Experience with version control systems (e.g., Git) and agile methodologies.

Excellent problem-solving and communication skills.

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

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 du 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.

Salary Transparency Disclaimer: 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 - $56186 to $87556/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.