Data Engineer

8+ 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

Skills

Some experience implementing and reporting on business key performance indicators in data warehousing environments, required.

Some 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.