Data Kafka 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 Location: Atlanta, GA

Job Responsibilities

Design, develop, and maintain real-time data pipelines using technologies like Apache Kafka, Flink, Spark Streaming, and Kafka Streams.• Collaborate with platform architects, data scientists, and application teams to deliver scalable and reliable streaming solutions.
Help design and build reusable tools/frameworks at enterprise level
Implement data quality, observability, and governance practices in real-time data flows.
Optimize performance and reliability of streaming jobs and message brokers.
Contribute to the development of reusable frameworks and tooling for real-time data ingestion and processing.
Ensure compliance with data security and privacy standards.
Support onboarding of new use cases and reusable components

Required Skills

Bachelor's or Master's degree in Computer Science, Engineering, or related field.
7+ years of experience in data engineering, with at least 2+ years in real-time or streaming data environments.
Strong programming skills in Python, Java, or Scala.
Hands-on experience with Kafka, Kafka Streams, Flink, or Spark Structured Streaming.
Proficiency in SQL and working with structured and semi-structured data.
Experience with cloud platforms (AWS, Azure, or GCP) and containerized environments (Docker, Kubernetes).
Familiarity with CI/CD pipelines and infrastructure-as-code tools.

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 nd 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.
This is a general description of the Duties, Responsibilities aring 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-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, experien