About the Role

We are a top-notch data organization with a great culture and have the same high standards with our code, systems, practices, and people. We value learning and growth and hire diverse, well-rounded, communicative people.

• Pipeline Management: You’ll build and maintain robust and scalable data pipelines, monitoring and optimizing data pipeline performance
• Data Modeling: Be responsible for designing, implementing and maintaining scalable and efficient models for both structured and unstructured data
• Collaboration: Partner with product, engineering, and Go-to-Market stakeholders to ensure we’re collecting and processing the right data to drive decision making
• ETL Development: Develop and optimize ETL processes to load data into our data stores, then implement efficient testing and validation to ensure the accuracy and integrity of the data
• Dataset Evaluation: You’ll be the decision maker on how the data is consumed for our internal and external stakeholders

Our main technology stack currently includes Redshift, Spark, AWS Glue, Databricks, dbt, Airflow, Looker, Segment and Jupyter Notebooks. If you’re looking to challenge the status...