Description

You will design and build data pipelines and architecture to support enterprise analytics requirements.

This role is on-site.

Responsibilities

• Design and build ETL processes and data pipelines using Python and SQL.
• Develop and maintain a data warehouse, including extraction, loading, and data modeling.
• Assemble, clean, and manage big data to support analytic tools and visualizations.
• Automate manual data wrangling processes and optimize system performance.
• Partner with analytics teams to collect requirements and ensure data quality.

Required Skills

• Proficiency in Python and SQL.
• Experience with ETL development and data warehousing.
• Strong understanding of data structures and data modeling.
• Practical knowledge of Big Data handling.
• Experience with transaction processing.
• Bachelor's Degree in Computer Science, Engineering, Data Science, or equivalent.
• 7+ years of professional experience.

Preferred Skills

• Experience with PowerBI and R.

Key Skills

Education

Bachelor's Degree