1 to 4 of 4 Permanent ETL Jobs in the City of London with Remote Work Options

their next step in their career and wants to take on more responsibility. Technical Skillset: Experience as a data engineer developing and maintenance of ETL/ELT processes Good experience in Data Modeling within a cloud-based data platform Strong experience with SQL Server Azure data engineering stack, including Azure more »

stage, the candidate should be in the position to understand the entire data architecture and data model so as to own/enhance the ETL pipelines. The candidate should also be able to define short to long-term project plan and work on it. Some of the standard data sources … data with Redshift, Oracle, NoSQL etc. experience • Experience with data visualization using Tableau, Quicksight, or similar tools • Experience with data modelling, warehousing and building ETL pipelines • Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modelling PREFERRED QUALIFICATIONS • Experience … with AWS solutions such as EC2, DynamoDB, S3, and Redshift • Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets more »

following continuous growth and success. As a Data Engineer you will be involved in: Design, develop, test and support data collection, data integration and ETL applications to make information and data available to key client stakeholders and technical interfaces Model data requirements, data sources and data flows to bring order … a solid understanding of programming languages along with experience of applying them in your previous role Experience in using Data Engineering tools and technology ETL tools including Python and a number of the Big Data Applications. Rather than specifying a list of technologies we look for, demonstrable ability in what more »

teams to understand data requirements and design efficient data pipelines. Develop and maintain scalable data models and databases. Design and implement data integration and ETL/ELT processes. Optimise and tune data storage and retrieval processes. Collaborate with the Data Science team to implement machine learning algorithms and AI models. … and Python Proficiency in building and optimising data pipelines, architectures, and datasets Familiarity with Medallion architecture and data lakes. Experience with data integration and ETL/ELT processes. Knowledge of DataOps principles and experience with CI/CD tools Strong problem-solving and troubleshooting skills. Excellent communication and collaboration skills. more »