An amazing opportunity for a Senior Data Engineer to join a multinational organization that produces work with feature teams to design and implement data extraction, cleaning, analysis, visualization, and database types to target data containers for the purpose of migrating data to cloud technologies If you Assist in creating data pipelines from source to target platforms. Experience in Data validation and verification to transform data from source to target for analytical purposes (Business Objects/Data Lakes) and migration
with a deep insight into the compliance and IT Methodology processes is recruiting for a Data Scientist Scientist – AI Platform to offer a deep insight into the compliance and IT Methodology processes, with the ability good knowledge and experience in NLP methods and customized NLU models. NLP/NLU Technology Integration Assisting
looking for an Azure Data Engineer . The unique positioning gives a deep insight into the compliance and 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 Kusto 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
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).
web applications which includes working with our customer facing portal API. Requirements: Bachelor's or performant applications Implementation of security and data protection Reference Number for this position is
equivalent 5 years of experience in the DevOps space Big Data platforms (Vanilla Hadoop, Cloudera or Hortonworks)
General AWS experience in the DataScience / big data context. Docker, & Kubernetes Experience, Expert
native solutions for bespoke web platforms and custom mobile applications, with a strong focus on backend