Engineer, Data
Johannesburg, South Africa
Standard Bank Group
The Standard Bank group is a leading financial services provider that supports Africa’s growth and development.Company Description
Standard Bank Group is a leading Africa-focused financial services group, and an innovative player on the global stage, that offers a variety of career-enhancing opportunities – plus the chance to work alongside some of the sector’s most talented, motivated professionals. Our clients range from individuals, to businesses of all sizes, high net worth families and large multinational corporates and institutions. We’re passionate about creating growth in Africa. Bringing true, meaningful value to our clients and the communities we serve and creating a real sense of purpose for you.Job Description
To design, code, verify, test, document, amend, and secure data pipelines and data stores according to agreed architecture, solution designs, standards, policies and governance requirements. Design and develop BI reports and provide insights to improve decision making. To monitor and report on own progress and proactively identify issues related to data engineering activities. To collaborate in reviews of work with others where appropriate.
Qualifications
BSc Degree in Information Studies
Other Minimum Qualifications, certifications or professional memberships
- MS SQL, Data Lake technologies & databases, Cloud data engineering tooling, services & storage layers.
- Structured, semi-structured & unstructured Data usage, Certification in Data Engineering, DEVOPS, Security and Analytics services.
- Power BI Certification
Experience Required:
- 5-7 years experience in building databases, warehouses, reporting and data integration solutions.
- 5 7 years experience in tools and systems on MS SQL Server BI Stack, including SSRS, SSIS, SSAS, Power Query, MDX, PowerBI, and DAX.
- 8-10 years deep understanding of data pipelining and performance optimisation, data principles, how data fits in an organisation, including customers, products and transactional information.
- Design and develop business intelligence reporting with the use of Power BI, utilising DAX and MDX.
- Documenting, designing, and modelling solutions and explaining, representing, and discussing the same with the team.
- Develop tabular and multidimensional models that are compatible with data warehouse standards.
- Knowledge of integration patterns, styles, protocols and systems theory
- Enterprise Technology & Solutions Architecture
- Experience building and optimising big data data-pipelines, architectures and data sets.
- Experience in creating and integrating APIs.
- Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement
- Software Engineering
- 8-10 years experience in database programming languages including SQL, PL/SQL, SPARK and or appropriate data tooling. Experience with data pipeline and workflow management tools
Additional Information
Behavioral Competencies:
- Adopting Practical Approaches
- Examining Information and Documenting Facts
- Articulating Information
- Embracing Change
- Team Working
Technology Competencies:
- IT Knowledge
- Data Integrity and Engineering
- Stakeholder Management (IT)
- Producing Output
- Big Data Frameworks and Tool
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: APIs Architecture Big Data Business Intelligence Data pipelines Data warehouse DevOps Engineering MS SQL Pipelines Power BI Security Spark SQL SSIS Unstructured data
Perks/benefits: Startup environment Team events
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