Description

You will build and maintain data infrastructure to support data pipelines.

This role is on-site.

Responsibilities

• Develop and improve data warehouse systems using ETL processes.
• Design Hive schemas and apply performance tuning techniques like partitioning and bucketing.
• Design and implement data visualizations and dashboards.
• Write scripts in Python and Shell to automate data workflows.

Required Skills

• 5+ years of professional experience in data engineering.
• Expertise in ETL processes and data warehouse design.
• Proficiency in Python and Shell Scripting.
• Strong SQL skills with Oracle, MySQL, and PL/SQL.
• Experience managing data in MongoDB.
• Hands-on experience with Linux and UNIX environments.

Preferred Skills

• Master's degree in Computer Science or related field.
• Experience with large-scale data partitioning strategies.

Key Skills

Education

Master's degree