every company, globally, by harnessing the value of data using high performance, interoperable and simplified simplified solutions are currently looking for an AWS Data Engineer to join their fast-paced and dynamic team enterprise data solutions and applications Analyse, re-architect and re-platform on-premise data warehouses warehouses to data platforms on AWS cloud using AWS or 3rd party services and Kafka CC. Design and build production production data pipelines from ingestion to consumption within a big data architecture, using Java, PySpark
of an Intermediate Data Scientist who will play a crucial role in leveraging data-driven insights to measuring the success of data science initiatives. Design and implement data visualisation tools and dashboards with emerging technologies and best practices in data science, machine learning, and artificial intelligence Mathematics, or a related field. 3 years of experience in data analysis, machine learning, and predictive modelling SQL. Experience working with large datasets and data manipulation tools (e.g., Pandas, NumPy) will be
Development and Operations for are looking for an Azure Data Engineer to give deep insight into the compliance maintaining Big Data Pipelines using Data Platforms Custodians of data and must ensure that data is shared need-to-know basis Experience using programming skills in data related programming languages and frameworks, such SQL Experience with Azure Data Solutions: Azure Data Factory, Azure Data Explorer, Azure Databricks Profound technical understanding for Data Engineering and Data Warehouse Design Familiar with modern
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
databases for embedded applications, ensuring efficient data storage, retrieval, and management. Qualifications
standards to ensure the highest level of system and data security. Maintain up-to-date knowledge of emerging