Description

You will implement and maintain scalable data solutions.

Responsibilities

• Design and implement data solutions on AWS, including data lakes, warehouses, and streaming systems.
• Develop, optimize, and maintain data pipelines using AWS services.
• Implement ETL/ELT processes and event-driven data ingestion.
• Establish and enforce data governance policies, ensuring data 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 competence in ETL processes and data warehousing.
• Strong proficiency in scripting using Python and SQL.
• Experience with AWS data services (Glue, Lambda, S3, etc.).
• Familiarity with infrastructure automation using Terraform and CloudFormation.
• Knowledge of Git for version control.
• Experience with relational and NoSQL databases like PostgreSQL and DynamoDB.
• 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