Data Engineer

📋 Description

• Be responsible for building, evolving and scaling data platforms and ETL pipelines, with an eye
• Promote data-driven decision making across the organization through data expertise
• Build advanced automation tooling for data orchestration, evaluation, testing, monitoring
• Integrate various data sources into our Datalake, including clickstream, relational, and
• Developing and maintaining a feature store for use in analytics & modeling
• Partner with data scientists to create predictive models to help drive insights and decisions, both

🎯 Requirements

• Strong understanding of database concepts, modeling, SQL, query optimization
• Ability to learn fast and translate data into actionable business results
• Experience in either Python (preferrably), or other common programming language (Scala, Java) for
• Hands-on experience with the AWS services (RDS, S3, Redshift, Glue, Quicksight, Athena, ECS)
• Strong understanding of relational databases (RDS/Aurora) and NoSQL engines
• Experience with ETL & Data warehousing, building Inmon/Kimball/Data Vault models

🎁 Benefits

• Your manager supports your development by providing ongoing feedback and regular 1-on-1s, we
• You will have the opportunity to elevate your craft and the opportunity to explore your creativity
• We offer a wide range of health and wellness benefits to support your physical and mental
• We’ll set you up to work remotely with a MacBook laptop, a monthly phone and internet subsidy, and
• You’ll be joining a supportive culture that has thoughtfully built out opportunities for
• Participate in townhalls, AMA (Ask-Me-Anything), and company celebrations to celebrate the big wins