Capgemini
Overview
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. Benefits
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 Accommodations
Physical, mental, sensory, or environmental demands may be referenced to communicate how this position is traditionally performed. Capgemini will consider reasonable accommodations that might involve varying job requirements or changing how the job is performed, provided such accommodations do not pose an undue hardship. Equal Opportunity Employer
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
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. The base salary range for the tagged location is $102,312 to $114,235 per year. This role may be eligible for other compensation including variable compensation, bonus, or commission.
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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. Benefits
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 Accommodations
Physical, mental, sensory, or environmental demands may be referenced to communicate how this position is traditionally performed. Capgemini will consider reasonable accommodations that might involve varying job requirements or changing how the job is performed, provided such accommodations do not pose an undue hardship. Equal Opportunity Employer
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
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. The base salary range for the tagged location is $102,312 to $114,235 per year. This role may be eligible for other compensation including variable compensation, bonus, or commission.
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