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Staff Data Engineer

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itle: Staff Data Engineer

Duration: Full-time role

Location: Beverly Hills, CA(Hybrid)

Job Description:

We are looking for a Staff Data Engineer to join our rapidly growing engineering team. They will join the data group, tasked with architecture, deployment, and automated maintenance of our Big Data platform. The role will collaborate with a cross-functional team to provide data solutions with engineering, marketing, merchandising, and executive teams.

Responsibilities:

  • Contribute to technology selection and strategy for big data solutions.
  • Build, test, and operate stable, scalable data pipelines that cleanse, structure, and integrate disparate data sets into a readable and accessible format for end-user-facing reports, data sciences, and ad-hoc analyses.
  • Create data pipelines to handle data ingestion in a way that is both rapidly available and fault tolerant.
  • Support AI/Machine Learning Initiatives to drive value for consumers and internal stakeholders.
  • Review and contribute to technical documentation.
  • Knowledge sharing and coaching.
  • Support with the onboarding of new data team members.

Qualifications:

  • Bachelor's degree in computer science, Engineering, or a related technical field (Or equivalent knowledge/experience).
  • A minimum of 12 years of Object-Oriented Programming (OOP) and/or functional programming experience/education.
  • Familiarity with Cloud Big Data Solutions (EMR, AWS Redshift, Kinesis, AWS Data Streams, Big Query, Azure Data Pipelines, Azure Datawarehouse, etc).
  • Familiarity with Apache Suite for Big Data Architecture (Spark, Akka, Cassandra, Kafka) and DBT-based Data Modeling/Transformation.
  • Expert in SQL Scripting, AWS Glue, PySpark.
  • Knowledge of Python programming language a plus.
  • Currently based in the greater LA area or open to relocation and consent to working onsite full-time.
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