Role Overview
A technically strong data professional who can independently design, develop, and optimize scalable data solutions while collaborating with business and engineering stakeholders.
What You Will Do
Design, develop, and optimize data pipelines using Snowflake, dbt, SQL, and Python. Analyze large datasets to identify trends, patterns, and actionable insights.
Why It Might Be a Fit
Contribute to data architecture and system design discussions. Collaborate with cross-functional teams to deliver reliable analytics solutions.
Requirements
- Advanced SQL: Complex queries, CTEs, window functions, performance tuning
- dbt (Data Build Tool): Models, macros, testing, incremental transformations
- Snowflake: Data warehousing, optimization, data transformations
- Python: Data processing, scripting, and automation
- Data Modeling: Star schema, snowflake schema, dimensional modeling
- Data Warehousing: ETL/ELT, warehouse design, optimization
- Data Architecture & System Design
- Data Quality & Validation
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