Responsibilities
- Develop, design, create, modify, and/or test ETL pipelines or systems to support our Machine Learning and Analytics capabilities
- Ensure quality of data through their flow, implement guardrails, health checks and alerts
- Be able to collaborate with customers and understand in depth their data ecosystem to successfully consolidate our data models for predictive modelling
- Develop a strong understanding of relevant data domains, codebase, and/or systems
- Demonstrate proficiency in data engineering, data architecture, programming, and software engineering
- Demonstrate good judgment in selecting methods and techniques for obtaining solutions
- Work independently, use available resources to get unblocked, and complete tasks on schedule by exercising strong judgment and problem solving skills
- Master internal development standards from developing to releasing code in order to take on tasks and projects with increasing levels of complexity
- Collaborate with Data Science, Product Managers and Software Engineers to build robust ETL pipelines that enable the Product Support team to deliver compelling user-facing features
- Be able to work with customer empathy in ensuring that data processes and flows support their needs
Requirements
- Demonstrated interest in data and machine learning for impact
- University degree in Computer Science, Data Science, Information Systems, Data Mining, Mathematics, Statistics, Physics, Applied Sciences, or a related field
- 2+ years of hands-on industry experience in data engineering
- Familiarity with event backbone and job pool platforms (Kafka, etc)
- Willingness to get hands dirty across a broad variety of internal and client software
- Experience engaging with customers and translating customer needs to valuable features
- 2+ years of experience with Typescript, Python (Django) and have built complex ETL pipelines
- Hands-on experience with SQL database design, data modelling and data mining
- Demonstrated ability to pick up new technologies quickly and learn on the spot
- Experience in design and code reviews
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