Senior Data Engineer

Title: Senior Data Engineer (Python, AWS, Spark, Unix/Linux)

Employment Type: Full-Time

Location: Riverwoods, IL (Chicago Area)

About the Role:

We are seeking a highly skilled Senior Data Engineer (Python, AWS, Spark, Unix/Linux) to join a leading Financial Services organization. This role is ideal for professionals who excel at building scalable data platforms, automating complex workflows, and developing cloud-native solutions using modern data engineering technologies.

Key Responsibilities:

• Design, develop, and support scalable data processing applications using Python, Apache Spark, and Scala .
• Build and optimize enterprise-grade ETL/ELT pipelines , data ingestion frameworks, and batch/real-time processing solutions.
• Develop automation and operational support tools using Unix/Linux Shell Scripting (Bash/Korn Shell) .
• Work extensively with Apache Spark (Spark Core, Spark SQL, DataFrames, and Spark Streaming) and Hadoop ecosystem technologies.
• Design, deploy, and support cloud-native applications leveraging AWS services including:
• Amazon S3
• EMR
• EC2
• Lambda
• Glue
• IAM
• CloudWatch
• EKS
• RDS
• Develop and maintain containerized applications using Docker and Kubernetes (EKS) .
• Build and support Microservices and RESTful APIs .
• Implement and maintain CI/CD pipelines using Git, Jenkins, GitHub Actions, and GitLab CI .
• Troubleshoot production issues, optimize application performance, and support high-availability environments.

Required Qualifications

• 5+ years of experience in Python development and enterprise data engineering.
• Strong expertise in Unix/Linux Shell Scripting (Bash/Korn Shell) .
• Hands-on experience with Apache Spark and large-scale data processing.
• Strong knowledge of AWS Cloud Services .
• Experience with Docker and Kubernetes .
• Familiarity with CI/CD pipelines and DevOps best practices .
• Strong analytical, troubleshooting, and problem-solving skills.
• Experience working in Agile/Scrum environments.

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