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 develop and maintain complete data architecture across several application platforms, provide capability across application platforms. To design, build, operationalise, secure and monitor data pipelines and data stores to applicable architecture, solution designs, standards, policies and governance requirements thus making data accessible for the evaluation and optimisation for downstream use case consumption. To execute data engineering duties according to standards, frameworks, and roadmaps
Qualifications
- First Degree in Computer Science or Information Technology as well as Microsoft SQL Server certification or similar
- More than 5 years experience as a SQL Developer with excellent understanding of T-SQL programming and Microsoft SQL Server
- PowerApps experience will be an advantage
- 5 Year's experience with dashboard development using PowerBI or Qliksense
- Must be able to construct databases, and have at least 5 year's experience with ETL tools such as SSIS, Data Stage, SAP Data Services, Data Ingestion
Additional Information
Behavioral Competencies:
- Adopting Practical Approaches
- Articulating Information
- Developing Expertise
- Examining Information
- Interpreting Data
Technical Competencies:
- Big Data Frameworks and Tools
- Data Engineering
- Data Integrity
- Data Quality
- IT Knowledge
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture Big Data Computer Science Data pipelines Data quality Engineering ETL Pipelines Power BI SQL SSIS T-SQL
Perks/benefits: Career development Startup environment
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