Capgemini
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, build, and optimize data pipelines and streaming solutions using AWS services such as Kinesis, Lambda, Glue, S3, EMR, and Redshift.
Develop 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.
Build and optimize Spark/PySpark‑based ETL workflows on AWS EMR and Glue.
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
6+ years of experience as a Data Engineer or in a similar role.
Strong hands‑on expertise with AWS cloud services (Kinesis, Lambda, Glue, S3, EMR, IAM, Redshift).
Proficiency in Python for data engineering and automation tasks.
Hands‑on experience with PySpark/Spark for large‑scale data processing.
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 is a plus.
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 https://www.capgemini.com/resources/equal-employment-opportunity-is-the-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, 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 $80,330 - $95,185/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.
Seniority Level Mid‑Senior level
Employment Type Full‑time
Job Function Information Technology
Industries IT Services and IT Consulting
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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, build, and optimize data pipelines and streaming solutions using AWS services such as Kinesis, Lambda, Glue, S3, EMR, and Redshift.
Develop 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.
Build and optimize Spark/PySpark‑based ETL workflows on AWS EMR and Glue.
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
6+ years of experience as a Data Engineer or in a similar role.
Strong hands‑on expertise with AWS cloud services (Kinesis, Lambda, Glue, S3, EMR, IAM, Redshift).
Proficiency in Python for data engineering and automation tasks.
Hands‑on experience with PySpark/Spark for large‑scale data processing.
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 is a plus.
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 https://www.capgemini.com/resources/equal-employment-opportunity-is-the-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, 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 $80,330 - $95,185/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.
Seniority Level Mid‑Senior level
Employment Type Full‑time
Job Function Information Technology
Industries IT Services and IT Consulting
#J-18808-Ljbffr