Sr Snowflake Data Engineer

Job Description

Sr Data Engineer

Experience: 7 - 25 Years

Location:& Glendale, CA – Onsite 3-4 days a week W2

Contract Role Duration 18 months W2

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Experience on the below skills Mandatory :

- Airflow

- Apache Spark

- Snowflake OR Databricks

- Data Modeling

-Candidates should have a depth of experience in PySpark and data bricks

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.

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Platform / Stack

You will work with technologies that include Python, AWS, Snowflake, Databricks, and Airflow.

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What You'll 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)

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Qualifications:

You could be a great fit if you have:

7+ 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

Advance understanding of OLTP vs OLAP environments

Graph Database experience a plus

Realtime Event Streaming experience a plus