Senior Data Engineer
September 20
Description
• Ownership of data analytics platforms. • Maintain analytics infrastructure and dashboards. • Support data-driven decision-making. • Ensure data accuracy. • Collaborate with Product and Engineering. • Drive data quality and insights efforts. • Design and maintain data processing systems and databases. • Integrate data and ensure consistency. • Build and maintain data pipelines (ETL). • Optimize data processing for performance. • Implement data quality checks and validation. • Document data processes and workflows.
Requirements
• Strong SQL data wrangling skills. • Experience in using a data modeling tool like dbt. • Experience in using Python or R. • Familiarity with Segment, Amplitude, Looker Studio, BigQuery, Google Analytics and AWS/GCP (desirable). • Strong vision for modern analytics stack development. • Solid grounding in mathematics and statistics. • Ability to communicate complex information clearly. • Exposure to data systems that support machine learning and database migration/modernisation (desirable). • Experience in A/B Testing (highly desirable).
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