Data Warehousing: Design, develop, and maintain data structures to enable efficient data processing, storage, and retrieval in an enterprise data warehouse (EDW).
SQL Expertise: Create, debug, and optimize stored procedures, functions, and views to ensure data accuracy and availability.
Python Scripting: Utilize Python for scripting and automation tasks, improving data workflows and processes.
Data Modeling: Design scalable and high-performance data pipelines, including Source-to-Target Mappings (STTM) and Technical Specs in Snowflake.
Data Quality Assurance: Ensure data quality by validating and cleansing data, resolving anomalies, and implementing robust data quality checks.
Collaborative Work: Partner with cross-functional teams, including data analysts, scientists, and business stakeholders, to understand requirements and deliver actionable insights.