Data Engineer, ETL, RDBMS, Data Warehousing, London
Data Engineer, ETL, NoSQL, RDBMS, Data Warehousing, London
Responsibilities:·Managing the Extract, Transform and Load (ETL) processes of the company to ensure they remain efficient and robust·Understanding the data warehousing needs of the company to help identify weaknesses in the current architecture and suggest improvements·Identifying and resolving data issues in a timely manner.·Maintaining a broad knowledge of all data systems the company utilises·Helping to improve the efficiency and reliability of data systems and processes by identifying areas that would benefit from automation, including testing·Working with other platform Analysts and Managers to support the introduction of new technologies and data streams·Working with the Insights team to support their understanding of the company’s data warehouses
Experience Required:·Excellent understanding of database and data warehouse technologies, including standard row RDBMS, columnar RDBMS and some form of NoSQL (e.g. key-value, document, graph stores)·Excellent understanding of ETL techniques, including the reasons why data needs to be manipulated in this fashion·Good understanding of the differences in structure of databases and data warehouses and when to use which technologies for what tasks·Good level of understanding of Python with experience in automated testing, high code quality and other engineering best practises·Ability to quickly create workable solutions to technical problems.·Experience with using Google Cloud, BigQuery and their Data related API’s is a bonus·Knowledge of machine learning techniques such as logistic regression or random forests (desirable).·Computer Science (or similar such as Maths with Computer Science) degree plus 3+ years industry experienceThis is a great opportunity and salary is dependent upon experience. Apply now for more details.
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