Hiring: Data Engineer - AWS Company: JSR Tech Consulting Location: Newark, NJ Job Posted Time: 2026-09-17 14:09:24 Employment Type: Contract / Hybrid Target Skills & Keywords : API Gateway, AWS, Aurora, CI/CD, CloudFormation, Data Pipeline, Data Warehouse, DynamoDB, ELT, EMR, ETL, Elasticsearch, IAM, Kafka, Kinesis, Lambda, Python, RDS, Redshift, S3, SQL, SQS, Serverless, Shell, Spark, Step Functions, Systems Design, Terraform, Unit Testing About the job Experience: •5+ years of experience implementing and supporting data lakes, data warehouses, and data applications on AWS for large enterprises. Required Skills: •Design, build, and maintain efficient, reusable, and reliable architecture and code for data pipelines and data applications on AWS. •Build robust data ingestion pipelines (from on-prem to AWS and within AWS) using AWS services such as Glue, Redshift, S3, Lambda, EMR/Spark, Kinesis, and SQS. •Develop and manage ETL/ELT processes to collect, process, and store data from multiple sources, ensuring data quality, integrity, and security. •Architect and implement end-to-end data solutions (ingestion, storage, integration, processing, access) on AWS, with a focus on data lakes and data warehouses. •Participate in the architecture and system design discussions for high-scale data engineering projects. •Independently perform hands-on development, unit testing, and participate in code reviews to ensure adherence to best practices. •Implement serverless applications using AWS Lambda, API Gateway, Step Functions, and other AWS technologies. •Migrate data from traditional relational databases, file systems, and APIs to AWS-based data lakes (S3), RDS, Aurora, and Redshift. Qualifications: •Bachelor's degree in Computer Science, Software Engineering, MIS, or equivalent combination of education and experience. •Strong programming experience with Python, Shell scripting, and SQL. •Solid experience with AWS services: CloudFormation, S3, Athena, Glue, EMR/Spark, RDS, Redshift, DynamoDB, Lambda, Step Functions, IAM, KMS, Secrets Manager. •Knowledge of ETL/ELT, data modeling, and big data technologies. •Operational familiarity with data warehousing concepts and cloud-based architecture. •Strong problem-solving skills and attention to detail. •Excellent communication and teamwork abilities. •AWS Solutions Architect or AWS Developer Certification preferred. 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!