scouting for a Senior Data Engineer. You will be responsible for developing high quality data warehouse solutions in an Azure environment using Synapse, Data Lake, Azure Data Factory, Wherescape and PowerBI The groups similar fields like Information Systems, Big Data Azure Data Engineer Certification would be advantageous ADF and Data Lake Experience in developing data warehouses and data marts Experience in Data Vault and DataOps environment Experience working with automated data warehousing solutions would be advantageous Minimum
upbeat company that helps clients understand the rich data collected from the traditional retail market in and Africa broadly are in the market for a Junior Data Engineer . The ideal candidate will have a strong background to help drive value from the company's data, this person will wear many hats in the role with the development team, data analysts and BI analysts to help build and maintain data flows that supports the back-end systems Model front-end and back-end data sources to help draw a more comprehensive picture
that is timely, accurate, reliable, and relevant data originating from a multitude of external sources information seek a Data Engineer to design and develop robust data frameworks and create data services that date with new technologies within the data landscape Ensuring data quality, performance, and reliability cross-functional teams to understand requirements, deliver data solutions, and optimize processes Qualifications complex performance and concurrency issues Can model data given requirements and is able to give recommendations
that is timely, accurate, reliable, and relevant data originating from a multitude of external sources seek a Senior Data Engineer to design and develop robust data frameworks and create data services that date with new technologies within the data landscape Ensuring data quality, performance, and reliability cross-functional teams to understand requirements, deliver data solutions, and optimize processes Qualifications complex performance and concurrency issues Can model data given requirements and is able to give recommendations
genius with a love for Data and who is passionate to achieve better things for Data . If you are looking chance to leverage your skills in a Big Data and high volumes of Data that needs to be scalable. Everything that is passionate to achieve better things for Data. This is what you need to land an interview: You
Analyst, you will play a pivotal role in driving data-driven decision-making within the organisation. for gathering, analysing, and interpreting complex data sets to provide actionable insights that will inform trends, patterns, and correlations. Conduct thorough data validation and quality assurance procedures to ensure Power BI, or similar) to create interactive data Translate data insights into actionable recommendations opportunities for optimisation and innovation based on data-driven insights. Performing regular investigations
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
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