Job Title: Senior Data Engineer

Location:Hybrid inBurbank, CA

Duration: 12-month Contract

The Company

Headquartered in Los Angeles, this leader in the Entertainment & Media space is focused on delivering world-class stories and experiences to its global audience. To offer the best entertainment experiences, their technology teams focus on continued innovation and utilization of cutting-edge technology.

Lead Business Analyst

The team is providing scalable, secure, and innovative technology solutions to enable the present and future of cinematic storytelling. As part of the Studio's Data Services team, you'd join passionate, focused technologists who solve crucial problems within the dynamic and expanding media industry. We store, analyze, report, and visualize data and insights for everything from the financial engines that keep the Studio running to marketing and consumer applications that touch millions of people, to production data that supports the creation of the client's wide array of films and series. We're looking for a Sr. Data Engineer to help us grow the impact of our team.

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
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)
Be an active participant and advocate of agile/scrum ceremonies to collaborate and improve processes for our team
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 requirements

Qualifications & Experience

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
Strong algorithmic problem-solving expertise
Preferred Qualifications

Excellent written and verbal communication
Advance understanding of OLTP vs OLAP environments
Willingness and ability to learn and pick up new skill sets
Self-starting problem solver with an eye for detail and excellent analytical and communication skills
Strong background in at least one of the following: distributed data processing or software engineering of data services, or data modeling
Familiar with Scrum and Agile methodologies