About
Build and maintain scalable ETL/ELT pipelines to ingest structured and unstructured data into the data warehouse Develop and optimize data models to support reporting, dashboards, and operational insights Collaborate with analytics and business stakeholders to understand data requirements and deliver practical solutions
Required qualifications
Proficiency in SQL and Python for data processing and transformation Familiarity with modern data warehousing tools (e.g., DBT, Iceberg, Databricks, or similar) Experience working with both structured and unstructured data sources Understanding of data quality, observability, and monitoring principles Ability to work independently and adapt to evolving data needs
Languages
- English
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