AWS Data Platform Engineer

Overview

Hybrid
$80,000 - $120,000
Full Time

Skills

Amazon Web Services
AWS
Amazon S3
Ansible
SQL
Python
Big Data
Lambda
Glue
S3
RDS
DynamoDB
CloudWatch
CloudFormation
Spark
R
JSON
Big Data engineering
AWS Technologies
CI/CD

Job Details

Position Title : AWS Data Platform Engineer
Location : Charlotte, NC (Hybrid)
Experience : 10+ Years Must Have
Employee Type : Full Time with Benefits


Job Description:
We are looking for a skilled and experienced AWS Data Platform Engineer to join our team. This role requires hands-on expertise in AWS serverless technologies, Big Data platforms, and automation tools. The ideal candidate will be responsible for designing scalable data pipelines, managing cloud infrastructure, and enabling secure, reliable data operations across marketing and analytics platforms.

Key Responsibilities:

  • Design, build, and deploy automated CI/CD pipelines for data and application workflows.
  • Analyze and enhance existing data pipelines for performance and scalability.
  • Develop semantic data models to support activation and analytical use cases.
  • Document data structures and metadata using Collibra or similar tools.
  • Ensure high data quality, availability, and integrity across platforms.
  • Apply SRE and DevSecOps principles to improve system reliability and security.
  • Manage security operations within AWS cloud environments.
  • Configure and automate applications on AWS instances.
  • Oversee all aspects of infrastructure management, including provisioning and monitoring.
  • Schedule and automate jobs using tools like Step Functions, Lambda, Glue, etc.

Required Skills & Experience:

  • Hands-on experience with AWS serverless technologies: Lambda, Glue, Step Functions, S3, RDS, DynamoDB, Athena, CloudFormation, CloudWatch Logs.
  • Proficiency in Confluent Kafka, Splunk, and Ansible.
  • Strong command of SQL and scripting languages: Python, R, Spark.
  • Familiarity with data formats: JSON, XML, Parquet, Avro.
  • Experience in Big Data engineering and cloud-native data platforms.
  • Functional knowledge of marketing platforms such as Adobe, Salesforce Marketing Cloud, and Unica/Interact (nice to have).

Preferred Qualifications:

  • Bachelor s or Master s degree in Computer Science, Data Engineering, or related field.
  • AWS, Big Data, or DevOps certifications are a plus.
  • Experience working in hybrid cloud environments and agile teams.

    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 ;/p>

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

About Capgemini America, Inc.