Capgemini
AWS Data Platform 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.
Job Location : Charlotte, NC
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. 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.
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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. 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.
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