3 of 3 Data Lake Jobs in Alderley Edge

Introduction to Azure Data Lake Storage (ADLS) Azure Data Lake Storage (ADLS) is a key component in the Azure ecosystem that provides scalable storage for big data analytics. Data Transformation & Modeling One essential aspect of working with data in ADLS is the transformation and modeling process. Companies can leverage Azure Data Factory or Databricks, using languages like PySpark and Scala , to create efficient data processing and transformation workflows. These workflows are designed to handle both batch and streaming data seamlessly. … Furthermore, organizations can develop robust data models within the ADLS environment to optimize their analytics and insights generation. More ❯

Chroma are currently recruiting for a Data and Business Intelligence Manager to join a leading European technical product specialist who are going through an exciting tech and digital transformation. This role is offering up to £80K with hybrid working based out of their Wigan and Wythenshawe sites. Benefits … of the role include : 25 days holiday + bank holidays, 8% pension, life assurance scheme, employee assistance program, discretionary bonus scheme. As The Data and Business Intelligence Manager, your role will revolve around designing and delivering a company wide data strategy and developing a comprehensive business … across the organisation. You will be responsible for a small number of direct reports with the opportunity to further expand the team. The Data and Business Intelligence Manager would be suitable for someone with some leadership or mentorship experience under their belt who is capable of driving the More ❯

frameworks. Expertise in cloud-native design patterns (hybrid: Azure/AWS/GCP) and best practices including networking, compute, security, cost optimisation and data services. Strong Knowledge of microservice architectures, Domain Driven Design, Event Driven Architecture, and API-led integration. Understanding of how architectural designs translate into real … skills: Kafka, Confluent, Event Hub, Pub/Sub, Messaging Platforms/MQs, RESTful APIs and Open API specifications, GraphQL, EDA, MQ, WebSocket, DataBricks. Data: SQLDB, MongoDB, MariaDB, DataLake. CRM: Microsoft Dynamics 365. Containerisation and serverless architectures. Understanding of Capability models, Data and Process integration strategies across More ❯