Intermediate Data Engineer . You will play a crucial role in leveraging data-driven insights to drive business Mathematics, or a related field 4 years of experience in data analysis, machine learning, and predictive modelling or SQL Experience working with large datasets and data manipulation tools (e.g., Pandas, NumPy) will be Cloud) Knowledge of big data technologies (e.g., Hadoop, Spark) Experience with data visualization tools and develop metrics for measuring the success of data science initiatives Reference Number for this position
delivering state-of-the-art software and services that drive innovation and efficiency. Their mission is to provide understanding of object-oriented programming (OOP) concepts, data types, variables, and control structures in C#. relational database management system (RDBMS) for data storage and retrieval Proficiency in TypeScript (Object-Relational Mapping) tool for database interaction and data access Knowledge of creating and consuming RESTful
delivering exceptional promotional campaigns that drive growth and brand awareness. The current need is Development of Software Specs Security and compliance Data/Systems integration Ability to create microsites
will have the chance to showcase your skills in a data warehouse environment and have a direct impact on developing end-to-end data acquisition processes to be used in population of data warehouse/data marts and/or support the data acquisition development process. Design, develop and execute complex data acquisition B.Sc. or related degree is advantageous Relevant data warehouse and BI solution training is preferred database- and data warehouse modeling skills, in order to understand the data warehouse data models. Terra
views and triggers for efficient data processing and generate financial data required for revenue services financial authority. Responsibilities: Manage end to end data solutions through Microsoft BI Stack Create and and optimise advanced SQL queries for efficient data retrieval, manipulation and reporting. Liaise with Certifications in Business Intelligence and / or Data Engineering advantageous. Experience with Microsoft Development), SSAS (Data Cube. Mining), SSRS (Report Development) & Power BI (Data Visualisations).
Developer with expertise in C# and experience in data ETL/ELT, who will play a crucial part in designing designing and implementing data ETL/ELT pipelines using tools such as Azure Data Factory, Azure Databricks similar Strong SQL skills and proficiency in data modelling, data warehousing concepts, and database optimization Familiarity with data integration patterns and techniques for handling structured and unstructured data formats
hunt for a Senior Data Engineer to join their dynamic team within the Digital and Data division. This team's team's primary focus is to build and establish the data platform capability by applying industry knowledge Engineering 5 years of data engineering experience 5 years of experience with any data warehouse technical (2) ETL Frameworks, (3) Data conformance, (4) Caching, (5) Spark (6) AWS data builds The candidate having
Create RESTful APIs Create data clients to consume RESTful APIs Integrate data storage solutions, including of Spring Boot Ability to script and manipulate data in JavaScript/Typescript (knowledge of a server-side
systems and databases. In this role, you will be the driving force behind the transformation of concepts into external stakeholders' needs. At our organization, we drive business profitability through innovative IT solutions
broadcast companies is on the lookout for a Senior Data Engineer to join their team. The chosen candidate Solid understanding of Golden Gate Plug-ins (Big Data / Kafka), GG Directors and Cloud Console Cloud Services