Job Description

CCG Talent Management is a business solutions company. We provide business consulting and talent placement services. Our team understands the principles of connecting purpose to business and career placement. A client of CCG is currently seeking a Sr Data Engineer

Job Title: Sr Data Engineer

Location: Glendale, CA – Hybrid Onsite Schedule

The CompanyHeadquartered 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 requirements

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)

� 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

Additional Information

Base Salary - USD $70 – 90/hr W2

Our highly competitive compensation package and outstanding benefits

All your information will be kept confidential according to EEO guidelines.