Data Ops Engineer
irco
Job Description
- Data Transformation (dbt): Architect and develop clean, modular dbt models to transform raw data into analytics-ready datasets. Ensure code quality through testing and documentation.
- Snowflake Development: Utilize Snowflake features (Streams, Tasks, Snowpark) to automate workflows. Write efficient, high-performance SQL.
- Python Scripting: Develop Python scripts for custom data ingestion or complex transformations (utilizing Snowpark Python 3.10/3.11 runtimes).
- Data Quality & Governance: Implement checks to ensure data accuracy, consistency, and timeliness. Troubleshoot pipeline failures and data anomalies proactively.
- Collaboration: Work closely with analysts and stakeholders to understand data requirements and translate them into technical solutions.
- Tech Stack Evolution: Actively explore new tools and technologies to improve the efficiency of our lean data stack.