Job Description
Requirements
- 6–8+ years of experience in analytics engineering, data analytics, or data engineering in high-growth or fast-paced environments ,
- Proven track record building and maintaining complex data models with dbt in a production environment (CI, testing, documentation) ,
- Deep SQL expertise, with experience designing scalable dimensional models and working with large, normalized datasets ,
- Hands-on experience with cloud data warehouses such as Snowflake, BigQuery, or Redshift ,
- Experience building semantic layers and enabling self-serve BI (Looker, Sigma, Tableau) ,
- Strong communication skills with the ability to influence stakeholders and lead discussions around metrics and data strategy ,
- Strong sense of ownership, accountability, and craftsmanship for data quality, performance, and maintainability ,
- Experience with Python and orchestration tools (Airflow, Prefect, Dagster) for data pipelines and transfor...
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