·         7+ years of experience in Data Engineering role

·         5+ years of hands-on experience of Data Lake/Hadoop platform and performance tuning Hadoop/Spark implementations.

·         5+ years of programming experience with Python / PySpark

·         5+ years experience in writing SQL statements

·         5+ years experience with schema design and dimensional data modeling.

·         Experience building and optimizing ‘big data’ data pipelines, architectures and data sets. 

·         Experienced developing in cloud platforms such as Google Cloud Platform (preferred), AWS, Azure, or Snowflake at scale

·         Excellent communication and presentation skills, strong business acumen, critical thinking, and ability to work cross functionally through collaboration with engineering and business partners. 

·         (optional) Experience in designing data engineering solutions using open source and proprietary cloud data pipeline tools such as Airflow