Data Engineer

SR AWS Data Engineer – SQL | S3/Redshift | Glue | Databricks - 11+ Exp

📍New Jersey (Hybrid – Onsite Required) 💼Contract | $72/hr C2C 🔒No Remote

🎯Role Summary

Seeking anAWS Data Engineer with strong hands‐on experience inSQL,AWS S3/Redshift,Glue, andDatabricks to build scalable data pipelines, optimize data flows, and support cloud‐native analytics workloads.

🔧Key Responsibilities

• Data Pipelines — Build and maintain scalable ingestion and ETL pipelines on AWS.

• AWS Data Services — Work with S3, Redshift, Glue, Lambda, and Databricks for batch processing.

• SQL Engineering — Write optimized SQL for large datasets and analytical workloads.

• Cloud Architecture — Design secure, high‐performance data solutions using IAM best practices.

• Data Quality — Ensure accuracy, consistency, and governance across data platforms.

• Collaboration — Work with cross‐functional teams in Agile environments.

🚀Required Skills

• Advanced SQL — Query tuning, performance optimization

• AWS S3/Redshift — Strong experience with cloud storage + warehouse

• AWS Glue — ETL development, job orchestration

• Databricks — Spark‐based transformations and pipelines

• Python/PySpark — Hands‐on programming for large‐scale data processing

• IAM & Security — Strong understanding of roles, policies, and cloud security

• DevOps — Jenkins/GitLab CI/CD pipelines

• Agile — Experience with Agile delivery frameworks

⭐Nice to Have

• Kafka/Spark Streaming — Real‐time ingestion

• DBT — Data modeling & transformations