Process Manager

Key Responsibilities:

• Build, maintain and optimize data pipelines for our Enterprise Data Platform using Google Cloud Platform technologies.

• Ingest new data sources from initial discovery & data architecture, through ETL authoring, operationalizing using Dataflow, Airflow (Cloud Composer) DAGs, and post launch lifecycle.

• Research and test new big-data technologies and tools.

• Advanced SQL queries, and modeling.

• Engage vendors with required features to meet business needs.

• Leverage the full value of our vendor integrations and APIs.

• Optimize BigQuery and ETL resources to decrease spend & increase performance.
  
   

• Bachelor’s degree in data science, computer science or similar majors with a GPA of at least 3.0 or equivalent experience 

• 7+ years of experience in Data Engineering

• 7+ years of experience in at least one OOP language, preferably Python

• Deep SQL knowledge / experience

• Experience in complex pipeline task management (i.e., Airflow and Beam)

• Experience building Data Models

• Experience with Github
  
   

• Google Cloud Platform tools or equivalent platform experience using tools s/a BigQuery, Dataflow / Apache Beam, Cloud Composer / Airflow, Pub/Sub, Apache Spark

• Experience using DBT

• Experience with Scalr/Terraform

• Experience with CI/CD

• Experience with marketing technologies like a CDP (Customer Data Platform) and SFMC (Saleforce Marketing Cloud)