Data Engineer

My client requires a Data Engineer to develop and deliver data engineering and integration from sources into a central warehouse environment. Following the defined data engineering strategy and architecture for the business which meets function and enterprise needs, and to deliver data integration that enables that data to be consumed and analysed through for multiple applications and via multiple interfaces.

Role Overview

To develop and deliver Data Engineering and Data Integration from sources into a central warehouse environment. Following the defined data engineering strategy and architecture for the business which meets function and enterprise needs, and to deliver data integration that enables that data to be consumed and analysed through for multiple applications and via multiple interfaces.

Role Responsibilities

• To design, develop, maintain, and manage the ETL solutions consisting of data exchange process models, ETL specifications and underlying the ETL code base.
• Plan data engineering tasks working as part of the assigned Agile squad.
• Use judgment to form conclusions that may challenge conventional wisdom, focuses on the crux of issues to identify recommendations and strategies
• Take a high level view of Data Engineering requirements and Data roadmaps
• Building data quality analysis models using the IBM Information server toolset to assess business data quality against agreed KPI's.

Skills

• Creativity: Applies original and innovative thinking to produce new ideas and create innovative products
• Communication: Conveys complex and technical business issues to diverse audiences, and projects a highly credible, polished image in presentations and communications
• Knowledge in user experience modeling, information design, and concept generation
• Understanding of metamodels, taxonomies, ontologies, and challenges of applying structured techniques (data modeling) to less-structured sources
• BI, analytics, and reporting
• Data warehouse, data marts, and ETL
• Data quality, reference, and metadata
• Enterprise data models and data governance
• Master data management
• Content and knowledge management
• ILM, archive, records management
• Knowledge of Data Warehousing/dimensional modelling concepts
• Knowledge of one BI/Analytics reporting tool
• Knowledge of Master data management concepts and tools
• Knowledge of Data Quality concepts and frameworks

Experience

• More than five years of experience in information architecture or minimum five to seven years' experience as data analyst, business intelligence analyst, or equivalent roles
• Hands-on experience with implementing data and analytics management programs
• System integration experience, including interface design, and familiarity with web-oriented architecture techniques

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