Description

Design, develop, and maintain scaled ETL processes to extract insights from large, complex datasets and build a data warehouse using Python.

This role is on-site.

Responsibilities

• Develop a semantic layer by creating ETLs and virtualized views.
• Troubleshoot and resolve production issues related to data, systems, and performance.
• Collaborate with engineering teams to discover and leverage new data introduced into the environment.
• Create report specifications and process documentation for all data deliverables.
• Act as a liaison between business and technical teams to deliver reporting solutions.

Required Skills

• 5+ years of experience in data analysis or database engineering.
• Strong proficiency in SQL.
• Strong proficiency in Python for processing structured and unstructured data.
• Hands-on experience with ETL processes.
• Experience with Apache Airflow or equivalent orchestration tools like AWS MWAA.
• Proven ability to troubleshoot and resolve complex data issues.
• Any Graduate degree.

Preferred Skills

• Experience with Tableau or DBT.

Key Skills

Education

Any Graduate