Vacancy caducado!
Our client is in search of highly collaborative Data Engineers who want to solve problems that drive business value. You should be someone that has a strong sense of ownership and enjoy hands-on technical work. You will work in cross-functional Agile project teams alongside data scientists, machine learning engineers, other data engineers, project managers, and industry experts. You will work hand-in-hand with clients, from data owners, users, and fellow engineers to C-level executives.As a Senior Data Engineer, you will:
- Own the technical platform for advanced analytics engagements, spanning data science and data engineering work
- Design and build data pipelines for machine learning that are robust, modular, scalable, deployable, reproducible, and versioned
- Create and manage data environments and ensure information security standards are maintained at all times
- Own and be accountable for the delivery of technical work streams while also mentoring and guiding more junior colleagues
- Understand clients data landscape and assess data quality
- Map data fields to hypotheses and curate, wrangle and prepare data for use in advanced analytics models
- Have the opportunity to contribute to R&D projects and internal asset development
- Degree in computer science, engineering, mathematics, or equivalent work experience
- Ability to write clean, maintainable, scalable, and robust code in an object-oriented language, e.g., Python, Scala, Java, in a professional setting
- Proven experience building data pipelines in production for advanced analytics use cases
- Experience working across structured, semi-structured, and unstructured data
- Practical knowledge of software engineering concepts and best practices, inc. DevOps, DataOps, and MLOps would be considered a plus
- Familiarity with distributed computing frameworks (e.g. Spark, Dask), cloud platforms (e.g. AWS, Azure, Google Cloud Platform), containerization, and analytics libraries (e.g. pandas, NumPy)
Vacancy caducado!