Manager, Data Engineer
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 roadmapsQualifications
Minimum Qualifications
Type of Qualification: Degree
Field of Study: Information Studies, Business Commerce, Information Technology
Other Minimum Qualifications, Certifications or Professional Memberships: Certification(s) in MS SQL and Data Lake technologies and databases, Cloud related data
engineering tooling, services and storage layers (Synapse, S3, Spark and ADLS etc.).
Structured, semi-structured and unstructured Data usage . Cloud certification(s) specifically
Data Engineering, DEVOPS, Security and Analytics services
Experience Required:
- 8 to 10 years ,Information Lifecycle Management, Software Engineering ,Enterprise Technology & Solutions Architecture
- Knowledge of integration patterns, styles, protocols and systems theory
- Experience in building databases, warehouses, reporting and data integration solutions.
- 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
- 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
Competencies:
- Adopting Practical Approaches
- Developing Expertise
- Examining Information
- Documenting Facts
- Interpreting Data
- Articulating Information
- Embracing Change
- Team Working
- Taking Action
- Producing Output
- Managing Tasks
- Checking Details
Technical Competencies:
- IT Knowledge
- Data Integrity
- Stakeholder Management (IT)
- Data Engineering
- Big Data Frameworks and Tools
- Data Quality
Tags: APIs Architecture Big Data Data pipelines Data quality DevOps Engineering MS SQL Pipelines Security Spark SQL Unstructured data
Perks/benefits: Startup environment
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