Senior AWS Data Engineer: Scale Data Pipelines & Lakes

Capgemini; New York (NY); On-site; USD 100,000 - 115,000; Full time

Benefits offered by this job

Vacation and holidays

Medical/dental/vision coverage

401(k) retirement plans

Life and disability insurance

Employee assistance programs

Job summary

Capgemini in New York, NY seeks an experienced AWS Data Engineer to design, build, and optimize scalable data pipelines on AWS. You will work with analytics, reporting, and data-driven decision making within a collaborative global team.

Role requires 8+ years in data engineering, strong AWS experience, SQL and Python/Scala/Java, and knowledge of data modeling, ETL/ELT, and Spark/Hadoop. Capgemini offers a comprehensive benefits package and growth opportunities.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or related field.
• 8+ years of experience in data engineering or related roles.
• Strong hands-on experience with AWS services, including:
• • Amazon S3
• • AWS Glue
• • Amazon Redshift / RDS
• • AWS Lambda
• • Kinesis (for streaming use cases)
• Proficiency in SQL and at least one programming language (Python, Scala, or Java)
• Experience with ETL tools and frameworks
• Solid understanding of data modeling, warehousing, and big data concepts
• Familiarity with distributed processing frameworks (Spark, Hadoop)
• Experience with CI/CD pipelines and version control (Git)

Responsibilities

• Design, develop, and maintain scalable ETL/ELT data pipelines using AWS services
• Build and manage data lakes and data warehouses (e.g., Amazon S3, Redshift, Glue)
• Develop and optimize batch and real-time data processing systems
• Ensure data quality, integrity, and governance across systems
• Work with stakeholders to translate business requirements into technical solutions
• Implement data integration solutions across multiple sources and formats
• Monitor and troubleshoot data workflows for performance and reliability
• Optimize costs and performance of AWS data infrastructure
• Collaborate with data scientists, analysts, and DevOps teams

Skills

Data Engineering

AWS

SQL

Python/Scala/Java

ETL/ELT

Data Modeling

Spark/Hadoop

Git

Education

Bachelor's degree in Computer Science or Engineering

Tools

AWS S3

AWS Glue

Amazon Redshift

Amazon RDS

AWS Lambda

Kinesis

Job description

Capgemini in New York, NY seeks an experienced AWS Data Engineer to design, build, and optimize scalable data pipelines on AWS. You will work with analytics, reporting, and data-driven decision making within a collaborative global team.

Role requires 8+ years in data engineering, strong AWS experience, SQL and Python/Scala/Java, and knowledge of data modeling, ETL/ELT, and Spark/Hadoop. Capgemini offers a comprehensive benefits package and growth opportunities.