database platforms Cloud Architecture: Experience with Azure data services (Azure Data Factory, Azure Synapse, Azure Data Lake) Data Governance: Understanding of data quality, data lineage, and metadata management principles. ETL/ELT Processes: Experience designing and implementing data integration workflows. Business Intelligence: Knowledge of reporting and analytics platforms (Power BI, SSRS, or similar) Data Warehousing: Experience with dimensional modelling andMore ❯
Rest such as TLS/SSL, Data Encryption Knowledge in MQ & AMQ concepts such as RabbitMQ & Oracle MQ Expertise Knowledge in Data Management workflow & integration such as Data Lake, ETL , Data Ingestion, Sharding, Data Stream, Data Catalogue, Data Cleansing, Data Analytics, Batch, Scheduling Implementation knowledge on principles such as ACID, SOLID, OWASP Knowledge on UK GDPR, PII, PCI-DSS data More ❯
data and validate by profiling in a data environment Understand data structures and data model (dimensional & relational) concepts like Star schema or Fact & Dimension tables, to design and develop ETL patterns/mechanisms to ingest, analyse, validate, normalize and cleanse data Understand and produce ‘Source to Target mapping’ (STTM) documents, containing data structures, business & data transformation logics Liaise with data More ❯
process Strong specialist experience across several of the following areas: Cloud services (SaaS, PaaS) (AWS preferred) Enterprise integration patterns and tooling (MuleSoft preferred) Enterprise data, analytics and information management, ETL knowledge High volume transactional online systems Security and identity management Service and micro-service architecture Knowledge of continuous integration tools and techniques Design and/or development of applications using More ❯
