Job description 

Qualifications

• Bachelor’s degree or master’s degree in computer science, Math, Software Engineering, Computer Engineering, or related field  
• 4+ years’ experience in business analytics, data science, software development, data modelling or data engineering work 

 Preferred qualifications:   

• Architecting, building, and maintaining end-to-end, high-throughput data systems and their supporting services. 
• Designing efficient data structures and database schemas and working with distributed systems architecture 
• Incorporating data processing and workflow management tools into pipeline design. 
• Utilizing a variety of data stores, including data warehouses, relational database systems, in-memory caches, and searchable document databases. 
• Experience working with large data sets using SQL/Azure Data Lake/Spark/Data bricks, etc., to derive actionable insights is highly desirable. 
• Developing for continuous integration and automated deployments. 
• Using profiling tools, debugging logs, performance metrics, and other data sources to make code- and application-level improvements. 

 Responsibilities

•  
  • Ship high-quality, well-tested, secure, and maintainable code. 
  • Design, develop, and maintain data pipelines and back-end services for real-time decisioning, reporting, optimization, data collection, and related functions. 
  • Manage automated unit and integration test suites. 
  • Work collaboratively and communicate effectively with a small, motivated team of engineers and product managers. 
  • Experiment with and recommend new technologies that simplify or improve the tech stack. 
  • Participate in an on-call rotation and work occasional off-hours.