Data Engineer - Fidelity Bank

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Data Engineer - Fidelity Bank

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1. Patiently scroll down and read the job description below.

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4. Always apply for a job by attaching CV with a Cover Letter / Application Letter.

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




  • 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 
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