Data Engineer with AWS

Job Description

• Experience Required: 10+ 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.