Hiring: Data Engineer - AWS, python Company: JSR Tech Consulting Location: Newark, NJ Job Posted Time: 2026-09-10 15:09:23 Employment Type: Contract / Hybrid Target Skills & Keywords : API Gateway, AWS, Aurora, CI/CD, CloudFormation, Data Lake, Data Warehouse, DynamoDB, ELT, EMR, ETL, Elasticsearch, IAM, Kafka, Kinesis, Lambda, Python, RDS, Redshift, S3, SQL, SQS, Serverless, Shell, Spark, Step Functions, Systems Design, Unit Testing About the job Required Skills: •Designing, building and maintaining efficient, reusable, and reliable architecture and code. •Build reliable and robust Data ingestion pipelines •Ensure the best possible performance and quality of high scale data engineering project •Participate in the architecture and 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 complex enterprise web systems. •Work in a team environment with product, production operation, QE/QA and cross functional teams to deliver a project throughout the whole software development cycle. •Responsible to identify and resolve any performance issues Qualifications: •Bachelor's degree in computer science, Software Engineering, MIS or equivalent combination of education and experience •Programming experience with Python, Shell scripting and SQL •Solid experience of AWS services such as CloudFormation, S3, Athena, Glue, EMR/Spark, RDS, Redshift, DynamoDB, Lambda, Step Functions, IAM, KMS, SM etc. •Solid experience implementing solutions on AWS based data lakes. •Should have good experience with AWS Services - API Gateway, Lambda, Step Functions, SQS, DynamoDB, S3, Elasticsearch •Serverless application development using AWS Lambda •End-to-end data solutions (ingest, storage, integration, processing, access) on AWS •Architect and implement CI/CD strategy for EDP •Implement high velocity streaming solutions using Amazon Kinesis, SQS, and Kafka (preferred) •Migrate data from traditional relational database systems, file systems, NAS shares to AWS relational databases such as Amazon RDS, Aurora, and Redshift 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!