Big Data Engineer Role
hace 2 días
dunnhumby is a global leader in Customer Data Science, empowering businesses to compete and thrive in the modern data-driven economy.
We have a deep heritage and expertise in retail – one of the world's most competitive markets – and today we enable businesses across industries to be customer-centric.
With offices in Europe, Asia, Africa, and the Americas, we work for iconic brands such as Tesco, Coca-Cola, Meijer, Procter & Gamble, and Metro.
Job DescriptionThis role involves executing big data projects, creating ready-to-use science products or software modules that distill complex problems into compelling insights. You will develop the big data back-end for science products and reusable science modules, ensuring they are productionized and available to the business.
You will work with senior data science engineers to conduct requirements analysis and design solutions, inputting into reengineering and design based on your expertise and implementing advice from colleagues to resolve challenges and create big data back-ends for highly performant Business Intelligence applications for desktop platforms.
Key Requirements- Bachelor's degree or equivalent in an engineering/numerical subject e.g. Engineering, Statistics, Mathematics, Computer Science.
- Experience with and passion for building back-end workflows and applications using modern technologies, and an appetite for understanding and implementing data science algorithms.
- Quick learner as some components of the tech stack could change.
- Backend stack: Python, Pyspark, Postgres, SQL, GCP, Linux, Docker.
- Strong programming skills in Python (including OOP).
- At least 2 years of back-end development using Pyspark, HDFS, Hive, any cloud platform.
- Good knowledge of SQL (joins, subqueries, etc.) and optimization techniques.
- Knowledge of general software design, architecture, and best practices.
- Advanced English proficiency.
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