Arrive is looking to add a Data Engineer to build and maintain cutting-edge, scalable, flexible data pipelines that allow us to run a modern, data-driven business and uncover real-time insights. Reporting to the Lead Data Engineer, this person will take ownership of the reliability and availability of data in our data warehouse in order to support data analysis and storytelling efforts.
What you'll tackle:
Design new enterprise data models and ETL processes to populate themAssess and optimize current data environmentBecome the “go to” expert of our data. Work closely with staff to understand all data from our core systems, partner services, and any other platforms we rely onExtract and transform data from product databases and 3rd party services to provide consumable data and support functions across the organizationDetect quality issues, track them to their root source, and implement fixes and preventative auditsManage and optimize Redshift clusters/data lake to ensure current health and performance and future scaling needsHelp maintain the process we use to develop, test, and deploy good code
What you brIng to the table:
Experience with AWS; expertise in Redshift, Postgres or other RDBSs (preferably column-oriented)Expertise in SQL and ability to write and optimize complex queriesExperience with Docker, Elastic Container Service, Lambda a plusAbility to write customized software in, Python, Bash, Go or other common open source languages. Experience with Airflow or similar scheduling service a plusExperience with CI/CD tools like Jenkins or DroneCreativity in approaching data organization challenges with an understanding of the end goalA collaborative nature and entrepreneurial spirit. Prior startup experience a huge plus
More about the team:
We are a tight knit team that is fun, inclusive, and hard working. We have a firm, non-negotiable no jerk policy. We accept you for who you are and consider everyone on an equal opportunity basis without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.