Basic Qualifications
Experience working on mission critical data pipelines and ETL systems.
Experience with big data technology, systems and tools such as AWS, Hadoop, Hive, and Snowflake
Detailed problem-solving approach, coupled with a robust sense of ownership and drive
A passionate bias to action and passion for delivering high-quality data solutions
Expertise with common Data Engineering languages such as Python, Scala, Java, SQL and a proven ability to learn current programming languages
Experience with workflow orchestration tools such as Airflow
Deep understanding of end-to-end pipeline design and implementation.
Attention to detail and quality with excellent problem solving and interpersonal skills
Preferred Qualifications
Advanced degrees are a plus.
Robust data visualizations skills to convey information and results clearly
Ability to work independently and drive your own projects.
Exceptional interpersonal and communication skills.
Impactful presentation skills in front of a large and diverse audience.
Experience with DevOps tools such as Docker, Kubernetes, Jenkins, etc.
Innate curiosity about consumer behavior and technology
Experience with event messaging frameworks like Apache Kafka
A fan of movies and television is a strong plus.