Senior AWS Data Engineer-Cloud Data Engineer

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.