Senior AWS Data Engineer / Cloud Data Engineer

Hybrid 3 days/week in Newark, NJ.

Job Summary

We are seeking a highly skilled Senior AWS Data Engineer to design, develop, and maintain scalable cloud-based data solutions. The ideal candidate will have strong experience building AWS data platforms, data pipelines, ETL/ELT solutions, and CI/CD automation using modern DevOps practices.

Responsibilities

• Design, develop, and maintain scalable data pipelines and enterprise data platforms on AWS.
• Build end-to-end data solutions including data ingestion, storage, processing, integration, and access.
• Develop ETL/ELT workflows and automated pipelines from databases, file systems, APIs, and other data sources into AWS data platforms.
• Design and implement AWS data lake and data warehouse solutions using services such as S3, Glue, Athena, EMR/Spark, Redshift, RDS, Lambda, Step Functions, and Lake Formation.
• Build and maintain CI/CD pipelines using Jenkins, CloudBees, CloudFormation, and DevOps tools.
• Develop secure, reliable, and high-performing applications using Python, SQL, and Shell scripting.
• Implement data security and access controls using AWS IAM and Redshift RBAC.
• Participate in architecture discussions, code reviews, troubleshooting, and Agile development activities.
• Collaborate with product, QA, and engineering teams to deliver enterprise data solutions.

Required Qualifications

• Bachelor’s degree in Computer Science, Software Engineering, MIS, or equivalent experience.
• 8+ years of experience as a Data Engineer with strong AWS cloud experience.
• AWS Solutions Architect or AWS Developer certification required.
• Strong hands-on experience with AWS services including:
  • S3, Glue, Athena, EMR/Spark, Redshift, RDS/Aurora, DynamoDB
  • Lambda, Step Functions, IAM, KMS, Secrets Manager
  • EventBridge, CloudWatch, CloudTrail, Lake Formation, DataSync, DMS
• Experience building AWS data lakes, data warehouses, and scalable data pipelines.
• Strong programming skills in Python, SQL, and Shell scripting.
• Experience with DevOps practices, CI/CD pipelines, Jenkins, CloudFormation, and Infrastructure as Code.
• Experience with source control tools such as Bitbucket and collaboration tools such as Jira and Confluence.
• Experience with Docker, SonarQube, Artifactory, and build tools such as Maven/Gradle is preferred.

Preferred Skills

• Experience with real-time streaming solutions using Amazon Kinesis, AWS Managed Kafka, and Managed Airflow.
• Experience working in Agile/Scrum environments.
• Strong problem-solving, communication, and collaboration skills.