Key Responsibilities

• Design and maintain scalable ETL/ELT processes to move data from various sources into centralized data warehouses.
• Write complex, optimized SQL queries for data extraction, transformation, and analysis.
• Develop Python scripts to automate data workflows and perform advanced data manipulations.
• Collaborate with senior consultants to understand business requirements and translate them into technical specifications.

Technical Requirements

• SQL: Expert-level proficiency in writing joins, CTEs, and stored procedures.
• ETL Tools: Practical experience with industry-standard ETL tools (e.g., SSIS, Informatica, or Talend).
• Python: Strong understanding of data libraries such as Pandas or NumPy.
• Foundational Knowledge: Understanding of data modeling and warehousing concepts.