Hiring for AWS Data Engineer || Newark NJ Hybrid || Full-time

Job Role: AWS Data Engineer Location: Newark NJ Onsite 3 days/ week Type: Full-time Interview: CLIENT INTERVIEW will happen F2F in Newark, NJ too.

Role Summary

Design, develop and support AWS-based data pipelines for enterprise data onboarding, transformation, and consumption. The engineer will work hands-on with Python/PySpark and AWS-native data services to create reliable, scalable, and analytics/AI-ready datasets.

Data Pipeline Development

Develop ingestion and transformation pipelines using AWS Glue, EMR, S3, Python and PySpark. Ingest data from legacy and enterprise source systems into AWS. Develop transformations required to create standardized, consumption-ready datasets.

Build and maintain ETL/ELT workflows supporting enterprise data domains.

AWS Data Engineering

Work with S3 for data storage and processing. Develop workloads using Glue and EMR. Develop and optimize analytical datasets and workloads involving Redshift and Athena.

Support Iceberg-based data structures on S3 where required. Work with other AWS data services such as DynamoDB when appropriate to the solution. Data Quality & Reliability Implement data validation, reconciliation, and quality checks within pipelines.

Identify and resolve data-processing failures and data-quality issues. Support performance optimization of PySpark/SQL workloads and data pipelines. Participate in troubleshooting and production support.

Development & Delivery

Develop clean, maintainable, and reusable Python/PySpark code. Perform unit and integration testing. Participate in peer code reviews.

Document data flows, mappings, transformations, and technical designs. Work with the Data Engineering Lead and client stakeholders to understand source data and transformation requirements.