Sr Data Engineer

5 days ago

Glendale, United States CCG Business Solutions Full time

Sr Data Engineer 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 Description 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 its 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.

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