AWS Cloud Data Engineer — Hybrid NJ, Impactful Analytics

Capgemini; New York (NY); Hybrid; USD 80,000 - 106,000; Full time

Benefits offered by this job

Paid time off

401(k) retirement plan

Life and disability insurance

Employee assistance programs

Job summary

Capgemini in New Jersey is seeking a Cloud Data Architect to design scalable data architectures on AWS and to build and optimize ETL/ELT pipelines for analytics, BI, and ML use cases.

You will develop data lakes on S3, data warehouses on Redshift, and manage governance, security, and performance through CI/CD pipelines and IaC, working with cross‑functional teams in an onsite/hybrid setting.

Qualifications

• Design scalable data architectures on AWS for analytics, BI and ML.
• Build and optimize ETL/ELT pipelines for structured and unstructured data.
• Develop data lakes on S3 and data warehouses on Redshift/Snowflake.
• Implement data quality checks and automated error handling.

Responsibilities

• Design and implement scalable data architectures on AWS.
• Build and maintain ETL/ELT pipelines for data processing.
• Develop realtime and batch ingestion pipelines.
• Manage data lake/warehouse schemas, partitioning, and performance tuning.
• Implement CI/CD for data workflows and IaC provisioning.
• Apply security best practices, IAM, encryption, and data governance.
• Collaborate with data scientists, analysts, and business teams.

Skills

Cloud data architecture

ETL/ELT

AWS services

Spark

Python/Scala

Data quality

Security & governance

Tools

AWS S3

Redshift

Glue

Athena

EMR

DynamoDB

Kinesis

Kafka

Spark

Job description

Capgemini in New Jersey is seeking a Cloud Data Architect to design scalable data architectures on AWS and to build and optimize ETL/ELT pipelines for analytics, BI, and ML use cases.

You will develop data lakes on S3, data warehouses on Redshift, and manage governance, security, and performance through CI/CD pipelines and IaC, working with cross‑functional teams in an onsite/hybrid setting.