Data Engineer

Job Title: Sr Data Engineer Location: Glendale, CA – Hybrid The Company Headquartered in Los Angeles, this leader in the Entertainment & Media space is focused on delivering world-class stories and experiences to it's global audience.To offer the best entertainment experiences, their technology teams focus on continued innovation and utilization of cutting edge technology Platform / StackYou will work with technologies that include Python, AWS, Airflow and Snowflake.What You'll Do As a Sr Data Engineer:-Contribute to maintaining, updating, and expanding existing Core Data platform data pipelines-Build tools and services to support data discovery, lineage, governance, and privacy- Collaborate with other software/data engineers and cross-functional teams-Work on a Tech stack that 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.-Engage with and understand our customers, forming relationships that allow us to understand and prioritize both innovative new offerings and incremental platform improvements-Maintain detailed documentation of your work and changes to support data quality and data governance requirementsQualifications:You could be a great fit if you have:- 5+ years of data engineering experience developing large data pipelines-Proficiency in at least one major programming language (e.g. Python, Java, Scala)-Strong SQL skills and ability to create queries to analyze complex datasets-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-Deep Understanding of AWS or other cloud providers as well as infrastructure as code-Familiarity with Data Modeling techniques and Data Warehousing standard methodologies and practices