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 DescriptionJob 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
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
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.
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