Description

Design, develop, and maintain scaled ETL processes to extract insights from large, complex datasets. Build and support a data warehouse using Python to process structured and unstructured data.

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.

Required Skills

• 5+ years of experience in data analysis or database engineering.
• Strong proficiency in SQL.
• Strong proficiency in Python.
• 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.
• Experience acting as a liaison between business and technical teams to deliver reporting solutions.
• Any Graduate degree.

Preferred Skills

• Experience with Tableau, DBT, or Airflow.

Key Skills

Education

Any Graduate