Description

You will design, build, and maintain scalable data solutions on AWS.

This role is on-site.

Responsibilities

• Design and implement data lakes, warehouses, and streaming systems on AWS.
• Develop, optimize, and maintain data pipelines using AWS services.
• Implement ETL/ELT processes and event-driven data ingestion.
• Establish and enforce data governance policies for quality and security.
• Partner with cross-functional teams to gather requirements and deliver cloud-based solutions.

Required Skills

• 2+ years of experience in data engineering with ETL and data warehousing competence.
• Strong proficiency in Python and SQL scripting.
• Experience with AWS data services including Glue, Lambda, and S3.
• Familiarity with infrastructure automation using Terraform and CloudFormation.
• Knowledge of Git for version control.
• Experience with relational (PostgreSQL) and NoSQL (DynamoDB) databases.
• Ability to work with Bash scripting.

Preferred Skills

• Familiarity with data visualization tools like QuickSight.
• Experience with containerization (e.g., Docker).

Key Skills

Education

Any Graduate