About the role
Requirements:
- 7+ years of data engineering experience developing large data pipelines.
- Strong understanding of data modeling principles, including Dimensional modeling, data normalization principles.
- Good understanding of SQL Engines and Databricks.
- Ability to think strategically and 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 is a plus.