Job Description

Job Requirements

Experience Required: 7+ years in Data Engineering and Data Warehousing.
Core AWS Services: Hands-on expertise with AWS Glue, Amazon Redshift, Amazon S3, EMR, and Athena.
Pipeline Development: Design, build, and optimize scalable batch and real-time data pipelines using PySpark and Python.
Data Warehousing: Expertise in Amazon Redshift modeling, optimization, and S3 data lake architecture.
Workflow Orchestration: Manage dependencies and automate tasks using Apache Airflow or AWS Step Functions.
Infrastructure & DevOps: CI/CD integration, infrastructure support, and deployment automation.
Data Quality & Security: Implement data validation, encryption, IAM roles, and governance policies.
Query Performance: Advanced SQL optimization for large-scale enterprise data.
Collaboration: Partner with cross-functional teams, architects, and stakeholders to deliver solutions.

Work Experience

5-7Years