1 to 3 of 3 Data Lake Jobs in Berkshire

Review clients' requirements Working closely with key business stakeholders Experience: Around 3 years' experience developing with SQL MSSQL, T-SQL Troubleshooting and resolving data … quality issues Documentation Advantageous: Telecoms billing systems or processes Knowledge of Java or Kotlin NoSQL Databases Experience of CRM systems Azure Data Lake/Data Pipelines This role offers a salary of up to £40,000 including generous benefits including a company bonus, remote working more »

including integration with third party systems. Architecture Development: Define the overall solution architecture for D365 CE/Power Platform projects, including system integrations, data models, security, and scalability considerations. Technical Leadership: Provide technical leadership and guidance to development teams throughout the project lifecycle, ensuring adherence to best practices … Conduct detailed requirement analysis, identify gaps, and propose appropriate d365 CE/Power Platform components and customizations to meet client needs. Integration and Data Management: Design and implement integrations between D365/Power Platform/LOB systems, leveraging connectors, APIs, and data manipulation techniques to ensure … D365/Power platform/integration. Deep understanding of relevant Azure services such as Azure logic apps, API service, Web Jobs , Data Lake, Data Factory, Synapse, and Azure Functions. Lead experience working with MS SQL Server, SSRS, SSIS, KingswaySoft and/or other prominent data more »

Senior Data Architect About Mars Mars is a family-owned business with more than $35 billion in global sales. We produce some of the world’s best-loved brands: M&M’s®, SNICKERS®, TWIX®, MILKY WAY®, DOVE®, PEDIGREE®, ROYAL CANIN®, WHISKAS®, EXTRA®, ORBIT®, 5™, SKITTLES®, BEN’S ORIGINAL … Associates into taking action every day towards creating the world we want tomorrow. Job Description: We are searching for an experienced Senior Data Architect to join our team and lead our data architecture initiatives. The ideal candidate will possess a deep understanding of data … techniques, database normalization, and denormalization strategies. Strong understanding of data integration patterns, ETL processes, data warehousing, and data lake architectures. Experience with a variety of database systems, such as relational databases (e.g., SQL Server, Oracle) and NoSQL databases (e.g., MongoDB, Cassandra). Familiarity more »