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You will be part of a world-class Data Engineering team, where you will influence product teams, inform Data Science and Analytics Platform teams, and partner closely with data consumers and producers to ensure quality and usefulness of data assets. This work will help understand and improve product experience and engagement, optimize efficiency and costs, and drive strategy.
Job Responsibility:
influence product teams
inform Data Science and Analytics Platform teams
partner closely with data consumers and producers to ensure quality and usefulness of data assets
Defining metrics
Instrumenting logging
Acquiring/ingesting data
Architecting & modeling data
Transforming data
Ensuring data quality, governance, and enablement
Alerting, visualization, and reporting
Developing at scale and improving efficiency
Working autonomously and adding perspective to the team
Requirements:
Bachelor’s / Masters degree (or equivalent work experience) in a STEM field
2+ Years of Experience in Data Engineering or related fields
Expertise in Python or other modern programming language development experience
Knowledge of advanced level capabilities in SQL and relational databases experience
Solid working knowledge of ETL (ELT), Data modeling, DataQuality, and Data Visualization/Dashboarding
Experience working with product analytics
Nice to have:
4+ Years of Experience in Data Engineering or related fields OR 2+ Years of experience in Data Engineering along with a post-graduate degree or equivalent in a related field
An understanding of the SaaS business model and data structures
Experience in Enterprise Software product development
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