Responsibilities:

  • Collaborate with product teams, Data Science, and Analytics Platform teams to deliver high-quality data solutions.
  • Work closely with data consumers and producers to ensure data assets are reliable and valuable.
  • Strategize measurement, collect data, and generate actionable insights.
  • Help improve product experience and engagement, optimize efficiency and costs, and influence strategy.

Education Requirement: Bachelor’s degree (or equivalent work experience) in a STEM field, post-graduate degree preferred

Technical Skills Required: Python, SQL, Relational Databases, Data Modeling, Data Quality Management, Logging and Instrumentation, Data Transformation, Alerting and Visualization, Reporting

Key Areas of Focus:

  • Define and manage metrics.
  • Instrument logging and ingest data.
  • Architect, model, and transform data.
  • Ensure data quality, governance, and enablement.
  • Develop alerting, visualization, and reporting solutions.
  • Optimize scalability and efficiency.

Preferred Qualifications:

  • Post-graduate degree or equivalent work experience in a STEM field.
  • 1-2 years of experience in Data Engineering or a related field.
  • Understanding of SaaS business models and data structures.
  • Experience with enterprise software product development.

Perks & Benefits:

  • Comprehensive health coverage.
  • Paid volunteer days and wellness resources.
  • Support for local community engagement.
  • Additional perks for personal and professional growth.