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Responsibilities
Build and own the data foundation for analytics, reporting, and decision-making across the organization.Design dimensional models and manage data pipelines, ensuring a reliable data architecture.Requirements:5+ years of experience in data engineering or analytics engineering, with a focus on dimensional modeling in production.Strong proficiency in SQL and experience with operational databases (e.g., MongoDB) and analytical data warehouses (e.g., BigQuery, Snowflake).Hands-on experience with ETL/ELT pipelines and orchestration tools (e.g., Airflow).Understanding of data modeling best practices and performance optimization.Benefits:Opportunity to shape data architecture standards in a growing environment.Collaborate with a skilled data team and cross-functional partners to enhance data systems.
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