Share
Key job responsibilities
- Translating business requirements into modular and generic data infrastructure, implementing and managing scalable data platforms that facilitate self-service insights generation and scientific model building, and handling large-scale datasets while creating maintainable, efficient data components.- Work within a sophisticated technical environment, you'll interface with various technology teams to extract, transform, and load data from diverse sources using SQL, Amazon, and AWS big data technologies.
- You'll enable efficient data exploration and experimentation on our data platform while implementing appropriate data access control mechanisms.
Strong verbal and written communication skills are essential, as is the ability to deliver high-quality results in a fast-paced environment.To succeed in this role, you should have extensive experience in data engineering with large-scale systems, expert-level knowledge of distributed systems and big data technologies, and strong programming skills. Experience with real-time data processing and streaming architectures is essential, as is a track record of building systems supporting ML operations at scale.
- Master’s degree in BI, Finance, Engineering, Statistics, Computer Science, Mathematics, Finance or related field required.
- Experience in designing and delivering cross functional custom reporting solutions.
- Proven ability in implementing BI engineering best practices (e.g. analytical rigor, code quality, data quality, data modelling, operational excellence, automation, visualization).
- Experience with R, Python or other statistical/machine learning software.
- Be self-driven, and show ability to deliver on ambiguous projects.
These jobs might be a good fit