Relevant 3-year tertiary qualification BSC In Computer Science / Information Systems In depth knowledge and understanding: Data governance and data management frameworks BI and Warehouse design Movement of data into the Cloud using the following tools Apache Kafka, Storm, Flume for ingesting data or Amazon Web Services (AWS) Cloud Development Kit (CDK) Operating with real-time streams, data warehouse queries, JSON, CSV, raw data Scripting Data Pipelines for scheduled movement of data Designing and developing ETL/ELT processes and data pipelines Experience working with Azure DevOps Exploratory Data Analysis - EDA SQL Microsoft SQL Server NoSQL Microsoft SQL Server Python (PySpark) C#, Json- calling APIs PowerShell Kafka Scala Splunk Elk Stack Data warehousing solutions Data Cleansing Terraform Responsibilities Work as part of an agile data engineering team Ensure that data systems meet the companys regulatory commitments, and that data is reliable and efficient Support best business capabilities for high performance database solutioning Actively participate in team, cross-discipline and vendor-driven collaboration sessions or forums to increase understanding of the working environment by contribution and participation in the relevant Data Governance Frameworks Partner with Technology, Business and other stakeholders to ensure that database structures, programmes and applications meet business delivery requirements Monitor adherence to processes which support the prescribed data architectural frameworks and ensure development/delivery teams align to the required standards and methodologies Design and implement scalable end-to-end database solutions including: Addressing issues of data migration i.e. validation, clean-up and mapping and consistently apply data dictionaries Component design and development Identification and resolution of production and application development constraints Integration of new technologies and software into the existing landscape Development data set processes for data modelling, mining and production Optimal utilization of big data Documentation management and disaster recovery #J-18808-Ljbffr