Data Engineer
5 days ago
- Contribute to maintaining, updating, and expanding existing Core Data platform data pipelines
- Build and maintain APIs to expose data to downstream applications
- Develop real-time streaming data pipelines
- Tech stack includes Airflow, Spark, Databricks, Delta Lake, and Snowflake
- Collaborate with product managers, architects, and other engineers to drive the success of the Core Data platform
- Contribute to developing and documenting both internal and external standards and best practices for pipeline configurations, naming conventions, and more
- Ensure high operational efficiency and quality of the Core Data platform datasets to ensure our solutions meet SLAs and project reliability and accuracy to all our stakeholders (Engineering, Data Science, Operations, and Analytics teams)
- Data engineering experience developing large data pipelines
- Proficiency in at least one major programming language (e.g. Python, Java, Scala)
- Hands-on production environment experience with distributed processing systems such as Spark
- Hands-on production experience with data pipeline orchestration systems such as Airflow for creating and maintaining data pipelines
- Experience with at least one major Massively Parallel Processing (MPP) or cloud database technology (Snowflake, Databricks, Big Query).
- Experience in developing APIs with GraphQL
- Advance understanding of OLTP vs OLAP environments
- Graph Database experience a plus
- Realtime Event Streaming experience a plus
- Employer provides access to:
- 3 levels of medical insurance for you and your family
- Dental insurance for you and your family
- 401k
- Overtime
- California has the following sick leave policy: accrue 1 hour for every 30 hours worked up to 48 hours.
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