Senior Data Engineer at WesBank

Job Description

To plan, design and implement scalable and robust data models and physical data models and ensure effective movement, collection, integration, storage and provisioning of data to meet business objectives through sound understanding of business unit requirements and frequent collaboration with relevant stakeholders (such as Enterprise Architecture, Database and Solution Architects, Business Intelligence Developers, Data Scientists and Product Owners, etc.)

Role Purpose

The successful incumbent will be responsible for designing, building, and maintaining Business Intelligence reports and Data warehouse structures that enable the processing, collection, storage, and analysis of large volumes of data. They work closely with Product owners, Architects, Business analysts, Data scientists, and other stakeholders to ensure that data is clean, accurate, and readily available for analysis, helping business owners make informed decisions to optimize their operations.

Key Responsibilities include:

• Collaborate with FNB Retail, FNB Commercial to ensure standards are adhered to
• Design, construct, maintain, and troubleshoot the organization’s data architecture
• Collect and collate data from multiple sources, ensuring its accuracy and integrity when stored.
• Develop and maintain data ingestion and processing systems.
• Implement data storage solutions (databases and data lakes)
• Ensure data consistency and accuracy through data validation and cleansing techniques.
• Work closely with cross-functional teams to identify and address data-related issues.

You'll be an ideal candidate if you:

• Have extensive experience in Oracle Data warehousing.
• Coding: Should have a strong foundation in programming languages within data warehouse databases such as PLSQL and TSQL.
• Data warehousing: familiarity and experience using data warehousing solutions and concepts such as Kimball and Inmon.
• Data modelling: be able to plan, design, and implement scalable and robust data models and physical Data models.
• Data integration: Should be able to ensure effective movement, collection, integration, storage, and provisioning of data to meet business objectives through sound understanding of business unit requirements and frequent collaboration with relevant stakeholders using tools like Ab Initio or Informatica.
• Collaboration: Should be able to work closely with Business analysts, Data scientists, and other stakeholders to ensure that data is clean, accurate, and readily available for analysis, helping business owners make informed decisions and optimize their operations

 Qualifications and Experience

• Minimum Qualification - Relevant BSC Degree in Computer Science or similar tertiary qualification in a Data Management field
• Preferred Qualification - Honours Degree
• Experience: A minimum of 5 - 8 years’ relevant experience in a similar environment