Senior Data Engineer

Primary Purpose

A specialized skill is required to effectively manage and develop data and analytics capabilities that providing insight and aiding quick decision making. A Data engineer will extract and acquire data from different sources and apply algorithms to provide insight to different departments.

Minimum Requirements

Qualifications

• Degree or Diploma in computer science, mathematics, statistics, Engineering, or related field
• Microsoft Certification Advantageous
• Strong math and analytical skills are essential to complete job requirements successfully
• Able to compile and organize statistical information and present findings to management
• Knowledge of systems development, including system development life cycle, design and testing techniques
• Project management approaches and requirements Knowledge Proficiency in data modelling and design

Experience

• A minimum of 4-7 years working experience in technology environment

• Experience working with private and sensitive personal information

Competencies

Technical

• Expert in Microsoft BI stack SQL (SSIS, SSAS.SSRS, T-SQL)
• Knowledge of programming languages (e.g., Python)
• Data warehousing skills
• Experience working with Power BI
• Experience working on large and complex datasets
• Understanding of cutting-edge cloud technology and framework to enable data science
• Understanding meta-data management
• Knowledge of algorithms and data structures

Behavioural

• BUSINESS SUCCESS
  -Act with conviction and courage
  -Results Driven
  -Positive Disposition
  -Nimble Learning
• BUILDING THE FUTURE
  -Embrace Change
  -Think and Act Strategically
  -Advocate the Vision and Purpose
  -Data Mindedness
• WORKING WITH PEOPLE/COLLABORATION
  -Lead, Develop and Motivate Self and Others
  -Collaborate to make Bidvest Bank better

Duties and Responsibilities

CUSTOMER CENTRICITY

Increase customer satisfaction

• Incorporate customer suggestions into future products and experience developments.

Regular Feedback and Communication with Customers

• Understanding customer requirement

OPERATIONAL EXCELLENCE

Design and develop data warehousing solutions

• Identifying, designing, and implementing internal process
• Design and develop data warehousing solutions

Preparing data for predictive and prescriptive Modeling

• Creation of new data validation processes and analytical tools
• Build and deploy scalable models

Improving data quality and efficiency

• Integrating technical functionality, ensuring data accessibility, accuracy, and security.

Identifying, designing and implementing internal process improvements including optimizing data delivery, and automating manual processes

• Identifying, designing, and implementing internal process
• Design and develop data warehousing solutions
• Creation of new data validation processes and analytical tools
• Build and deploy scalable models
• Integrating technical functionality, ensuring data accessibility, accuracy, and security.
• Maintain data pipelines and maintain databases
• Coordinating and collaborating with crossfunctional teams, stakeholders, and vendors for the smooth functioning of the enterprise data system.
• Identifying data sources, both internal and external, and working out a plan for data management that is aligned with organizational data strategy.
• Create dashboards and reports using visualization tools
• Working with stakeholders including data, design, product and assisting them with data-related technical issues and requirements
• Build data solutions that leverage controls to ensure privacy, security, compliance and data quality
• Collaborate with teams within the bank to enable delivery of data and advanced analytics system capability
• Participate in code reviews
• Monitor models for post-production

DATA MANAGEMENT

Measure, monitor and control the impact of poor quality data Proactively identify areas of specialization related problems, determine cause and effect and recommend best solution to resolve the problem.

• Improving data quality and efficiency
• Creation of new data validation processes
  

Comprehensively test solution to ensure delivery according to identified requirements.

• Research and rigorously evaluate sources of information to determine possible limitations in reliability or usability
• Apply sampling techniques to effectively determine and define ideal categories to be questioned
• Define and utilize statistical methods to solve industry-specific problems in varying fields, such as
  economics and engineering
• Build and deploy scalable models improvements including optimizing data delivery, and automating manual processes

Understand the integration of various systems and processes to apply practically in the area of work.
Reduce the ratio of data errors and the data time to value

STAKEHOLDER MANAGEMENT

• Include customers in ideation process
• Translate business requirements and functional requirements into technical specifications.

Understanding customer requirements

• Collaborating with stakeholders including data, design, product and assisting them with data related technical issues and requirements

REPORTING

Data Accuracy, availability, secure and accessible in the data management system.

• Compare and analyze provided statistical information to identify patterns, relationships, and problems
• Preparing data for predictive and prescriptive modelling

LEARNING AND GROWTH

Empower teams through training and knowledge sharing

• Train and assist other members of the team on how to meticulously organize findings and read data collected

This position is advertised in line with our commitment to Employment Equity.