Data Engineer - Fidelity Bank

Job Responsibilities 

Data Management 

• Development, maintenance and monitoring of Enterprise Data warehouse (EDW)
• Find, organise, clean, extract, store, process and manage data from a variety of data sources (ETL processing)
• Develop data processes for mining, production and data modelling
• Recommend ways to improve data reliability, efficiency and quality
• Conduct monthly solution reviews with Business partners and Technology to ensure quality of service delivery remains within tolerance
• Responsible for monitoring data system performance metrics
• Investigate suitable self-service management information platforms and support the implementation

Data Governance

• Ensure adherence to data governance methodologies and processes including access control, documentation, and other related tasks 
• Maintains a repository of Master copies of all system documentation, management methods and standards
• Ensure effective management of Data Dictionaries and other system documentation

Reporting

• Management of Enterprise data reporting solutions such as Business Objects (BO), Vision BI & Power BI
• Creation or development and automation of Business data reporting
• Understand the time value of data and ensure availability is at agreed levels
• Implement a system-enabled reporting calendar aimed at streamlining data flow from the source system to report 
• Enforce the Service Level Agreement that governs the source system to warehouse activity
• Consistently review data feeds into metrics to ensure integrity
  
  

Candidate Profile 

• Proficient in SQL Server
• Proficiency in Python, C#, and object-oriented design skills
• A good understanding of Software architectures and design patterns
• Proficiency in developing front-end applications using modern Web development tools (HTML, JavaScript/jQuery, CSS)
• Proficiency in integrating various API technologies (REST, OData, etc.)
• Knowledge of Business Object (BO) and enterprise BI tools 
• Knowledge of various ETL Data Warehouse Design, Set Up and Maintenance
• Experience with integration of data from multiple data sources
• Experience with NoSQL databases an advantage
• Knowledge of professional software engineering and best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
• Ability to employ a variety of languages and tools (e.g., scripting languages) to integrate systems 
• Experience in R and Python for integration with data science solutions an advantage
• Experience with Azure Data Factory, Azure DataBricks, Google BigQuery or other data and query cloud tools a benefit
• At least 3 years of work experience in a financial service, technology, or other fast-paced environment in a relevant or similar industry
• A minimum of a first degree in Computer Science, Management Information Systems, or a relevant discipline