Job Title: Data Engineer Job Location: Glendale CA Job Type: Full-Time
Job Description:
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
Tech stack includes Airflow Spark Databricks Delta Lake Kubernetes and AWS
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) Be an active participant and advocate of agile/scrum ceremonies to collaborate and improve processes for our team
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
Job Title: Data Engineer Job Location: Glendale CA Job Type: Full-Time Job Description: 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 s...
Job Title: Data Engineer Job Location: Glendale CA Job Type: Full-Time
Job Description:
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
Tech stack includes Airflow Spark Databricks Delta Lake Kubernetes and AWS
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) Be an active participant and advocate of agile/scrum ceremonies to collaborate and improve processes for our team
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