Sr Data Engineer

Job Title: Sr Data Engineer

Location: Glendale CA - Onsite 4 days a week

Duration: 12-month contract

Python AWS Spark Snowflake Databricks and Airflow

5 years of data engineering experience specifically developing large-scale data pipelines

Databricks and Python expertise

Summary:

The Company in the Entertainment & Media space is focused on delivering world-class stories and experiences to its global audience. To deliver the best entertainment experiences their technology teams focus on innovation and using the latest technology.

Platform / Stack:You will work with technologies that include Python AWS Spark Snowflake Databricks and Airflow.

What Youll Do as a Sr Data Engineer:

• 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)

Qualifications: 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)
• 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
• Advanced understanding of OLTP vs OLAP environments
• Strong background in at least one of the following: distributed data processing software engineering of data services or data modeling

This client requires that a background check be completed:

We require background checks to protect our company and its stakeholders by hiring individuals with a trustworthy history which helps maintain a safe and secure workplace. This proactive measure minimizes potential risks and promotes a culture of integrity within the organization.

Benefits Offered: Employer provides access to:

• 3 levels of medical insurance for you and your family
• Dental insurance for you and your family 401 (k).
• Over time California has the following sick leave policy: accrue 1 hour for every 30 hours worked up to 48 hours. If you are based in a different state please inquire about that states sick leave policy.

Required Skills:

Data Engineering