Data Engineer

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 strong 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 new 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.
• Strong 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.