Position Title : AWS Data Engineer
Location : Charlotte, NC (Hybrid)
Experience : 10+ Years (Mandatory)
Employee Type : Full Time with Benefits
Job Description:
We are looking for a skilled and experienced AWS Data 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.
Must Have Skills:
- Strong AWS Developer [with Cloud formation creation, expert knowledge on Core AWS Services, Dynamo DB, S3, IAM, AWS APls etc..]
- Python and Data Structure expertise
- AWS Serverless App and API development [API Gateways, Lambda functions, ALB, Route 53 etc.]
- Experience with Big data development using AWS Services [AWS Glue, PySpark etc..]
- Experience self driven developer with problem solving and Solutioning skills.
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 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 http://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 $103330 to $128656/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.
Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law.
