Data Engineer
Posted Updated 10
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- Design and develop data pipelines and ETL jobs on AWS Cloud platform based on functional/non-functional business requirements
- Design & implement Data Integration/Ingestion/Extraction solutions based on high level architecture design
- Identify, design, and implement process improvements & delivery optimizations
- Develop data lake solutions leveraging new or existing technology to advance the company's business
- Design, upgrade and implement new data workflows, automation, tools and API integrations
- Write and maintain technical documentation
- Translate business logic into structured, testable, and well-documented datasets used across teams
- Collaborate with analysts, engineers, product managers, or other business stakeholders to align on requirements, definition of events and ownership.
- Locate opportunities to improve data and touchpoint analysis by leveraging consistent identifiers
- Implement and maintain Mixpanel testing strategies amongst product teams to ensure data accuracy and trust in data.
- Participate in code reviews and ensure product teams are instrumenting events per best practice
- Be part of a governance oversight committee that ensures product teams are feeding into global analytics platform as per analytics team standards
- Peer review reports and dashboards created by product teams prior dissemination to the wider business