Hiring: Data Engineer Company: JSR Tech Consulting Location: New Jersey, United States Job Posted Time: 2026-09-10 15:09:23 Employment Type: Contract / Hybrid Target Skills & Keywords : AWS, Agile, Airflow, Aurora, Bitbucket, CI/CD, CloudFormation, CloudWatch, Confluence, Data Lake, Data Pipeline, Data Warehouse, Docker, DynamoDB, EC2, ELT, EMR, ETL, Gradle, Groovy, IAM, Informatica, Infrastructure as Code, Jenkins, Jira, Kafka, Kinesis, Lambda, Maven, Project Management, Python, RBAC, RDS, REST, Redshift, S3, SNS, SQL, SQS, SaaS, Shell, SonarQube, Spark, Step Functions, Systems Design, Unit Testing About the job Experience: •8+ years of experience as Data Engineer on AWS Stack with experience on DevOps tool Required Skills: •Designing, building, and maintaining efficient, reusable, and reliable code •Ensure the best possible performance and quality of high scale data applications and services •Participate in system design discussions •Independently perform hands on development and unit testing of the applications •Partner cross-functionally with the development team and build individual components into enterprise data platform •Work in a team environment with product, QE/QA, and cross functional teams to deliver a project throughout the whole software development cycle. •Responsible to identify and resolve any performance issues •Keep up to date with new technology development and implementation Qualifications: •Bachelor's degree in Computer Science, Software Engineering, MIS or equivalent combination of education and experience •AWS Solutions Architect or AWS Developer Certification required •Solid experience of AWS services such as CloudFormation, S3, Athena, Glue, Glue DataBrew, EMR/Spark, RDS, Redshift, DataSync, DMS, DynamoDB, Lambda, Step Functions, IAM, KMS, SM, EventBridge, EC2, SQS, SNS, LakeFormation, CloudWatch, Cloud Trail •Implement high velocity streaming solutions and orchestration using Amazon Kinesis, AWS Managed Airflow and AWS Managed Kafka (preferred) •Solid experience building solutions on AWS data lake/data warehouse •Analyze, design, development, and implementation of data ingestion pipeline in AWS •Knowledge implementing ETL/ELT for data solutions •End-to-end data solutions (ingest, storage, integration, processing, access) on AWS •Knowledge implementing RBAC strategy/solutions using AWS IAM and Redshift RBAC model •Build & implement CI/CD pipelines for EDP Platform using CloudFormation and Jenkins Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!