Data Engineering Manager

Requirements:

• 7+ years of data engineering experience developing large data pipelines.
• Strong understanding of data modeling principles, including dimensional modeling and data normalization principles.
• Good understanding of SQL engines and Databricks.
• Ability to think strategically, analyze, and interpret market and consumer information.
• Ability to interpret data, identify insights, and communicate actionable strategies to senior levels of the organization.
• Strong interpersonal, communication, and presentation skills; experience working cross-functionally.
• Proven ability to lead and drive work across cross-functional teams.
• Confirmed ability to lead a team, including prioritizing work and driving high-level output.
• Flexible and adaptable to changing priorities and business needs.

Preferred Qualifications:

• 4+ years of work experience implementing and reporting on business key performance indicators in data warehousing environments, required.
• 5+ years of experience using analytic SQL, working with traditional relational databases and/or distributed systems (Snowflake or Redshift), required.
• 3+ years of experience with programming languages (e. g., Python, PySpark), preferred.
• 3+ years of experience with data orchestration/ETL tools (Airflow, NiFi), preferred.
• Experience with Snowflake, Databricks/EMR/Spark, and Airflow, a plus.