Basic Qualifications:

- 5+ years of relevant data engineering experience.

- Strong understanding of data modeling principles including Dimensional modeling, data normalization principles.

- Good understanding of SQL Engines and able to conduct advanced performance tuning.

- Ability to think strategically, analyze and interpret market and consumer information.

- Strong communication skills - written and verbal presentations.

- Excellent conceptual and analytical reasoning competencies.

- Comfortable working in a fast-paced and highly collaborative environment.

- Familiarity with Agile Scrum principles and ceremonies.

Preferred Qualifications:

- 2+ years of work experience implementing and reporting on business key performance indicators in data warehousing environments, required.

- 2+ years of experience using analytic SQL, working with traditional relational databases and/or distributed systems (Snowflake or Redshift), required.

- 1+ years of experience programming languages (e.g. Python, Pyspark), preferred.

- 1+ years of experience with data orchestration/ETL tools (Airflow, Nifi), preferred.

- Experience with Snowflake, Databricks/EMR/Spark, and/or Airflow.

Required Education:

- Bachelor's Degree in computer science, information systems, or related field or equivalent work experience.