SR AWS Data Engineer - New Jersey- Hybrid must (2 days A week)
AWS Data Engineering Expertise — Hands‑on experience with Glue, Lambda, S3, Redshift, Databricks, IAM, and distributed computing.
Large‑Scale Data Pipeline Development — Proven ability to build, optimize, and maintain batch data pipelines and architectures.
Python & PySpark Proficiency — Strong programming skills for ETL, transformations, and scalable processing.
Advanced SQL & Query Optimization — Ability to write and tune complex SQL for high‑volume datasets.
Data Warehousing & Data Lake Design — Experience designing secure, scalable, high‑performance storage layers.
DevOps & CI/CD — Familiarity with Jenkins, GitLab, automated deployments, and Agile delivery.
Data Governance & Quality — Knowledge of Alation, Glue Data Quality, data mesh concepts, and governance frameworks.
Solution Architecture Skills — Ability to propose end‑to‑end data solutions across diverse tech stacks.
Nice‑to‑Have: Real‑Time Streaming — Kafka, Spark Streaming, and event‑driven ingestion.
Nice‑to‑Have: DBT — Experience with DBT for modeling and transformation.
