Blinq
Blinq is a digital business card platform that offers solutions for individuals, businesses, and teams to share their contact information seamlessly. Their services include NFC business cards, Apple Watch wallet widgets, email signatures, and CRM integrations. Blinq's platform is designed to enhance networking by allowing users to share up-to-date contact details effortlessly, even with those who do not have the app. The service is highly rated for its ease of use and customization options, making it a valuable tool for modern networking and business communication. Blinq appeals to environmentally conscious users by replacing traditional paper business cards, helping to cut down on carbon footprints.
Senior Data Engineer
September 20, 2024
Blinq
Blinq is a digital business card platform that offers solutions for individuals, businesses, and teams to share their contact information seamlessly. Their services include NFC business cards, Apple Watch wallet widgets, email signatures, and CRM integrations. Blinq's platform is designed to enhance networking by allowing users to share up-to-date contact details effortlessly, even with those who do not have the app. The service is highly rated for its ease of use and customization options, making it a valuable tool for modern networking and business communication. Blinq appeals to environmentally conscious users by replacing traditional paper business cards, helping to cut down on carbon footprints.
📋 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).
Apply Now