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...