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The Senior Big Data Developer will be responsible for executing big data projects to create ready-to-use science products or software modules, engineering dunnhumby science into automated and scalable solutions available to capabilities teams.
This involves developing the big data back-end for science products and reusable science modules, ensuring they are productionized and available to the business. The role also requires working with senior data science engineers to conduct requirements analysis and design the solution.
You will be expected to distill complex problems into compelling insights that resonate with clients, working with cross-functional teams to achieve this goal.
- Bachelor's degree or equivalent in an engineering/numerate subject e.g. Engineering, Stats, Math, 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 of the 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.
