of an Intermediate Data Engineer . You will play a crucial role in leveraging data-driven insights to 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
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
specifications Development of MS SQL and Power BI data models with required interfaces and ETL Development report bursting Experience in Dataflows for enhanced data preparation and transformation capabilities Administration analytical ability to turn large amounts of raw data into insightful and actionable visual information understanding of when to rely on DAX queries vs a data model Optimization of MS SQL queries/views and ETL/SSIS
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
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
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
Development of Software Specs Security and compliance Data/Systems integration Ability to create microsites
performant applications Implementation of security and data protection Reference Number for this position is
databases for embedded applications, ensuring efficient data storage, retrieval, and management. Qualifications