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Senior Data Engineer

Skills
Cloud ComputingAdvertisingAnalyticsBrazeData AnalyticsMeasurementsPython
Role

What the job involves

The main requirements, responsibilities and hiring steps.

Requirements

  • STEM undergraduate degree with 4+ years of relevant experience or STEM graduate degree with 2+ years of post-graduation experience in Analytics Measurement Data Operations or consulting roles focused on digital analytics implementations
  • Experience with relational and NoSQL data management systems such as BigTable HBase Cassandra or MongoDB
  • Proficiency in Python and SQL
  • Experience with exploratory data analysis using Jupyter Notebook Pandas and matplotlib
  • Demonstrated ability to develop ongoing technical solutions with documentation and team training
  • Experience translating business requirements into data solutions through hands-on discovery and exploration
  • Strong written and verbal communication skills for technical and non-technical audiences
  • Experience building and deploying applications on a cloud platform preferably Google Cloud Platform
  • Ability to influence and apply data standards policies and procedures

Nice to have

  • curious
  • innovative
  • analytical
  • collaborative
  • creative problem-solver
  • cross-functional

Day to day

  • Drive the data strategy for collection pipelines usage and infrastructure across streaming products.
  • Build and refine large-scale pipelines that improve raw data quality and turn traffic and user behavior into actionable insights.
  • Partner with product BI engineering and field teams to design data ingestion storage and implementation approaches while mentoring junior colleagues.