Manager, Data Quality

Company Description

Standard Bank Group is a prominent Africa-focused financial services group and a pioneer on the global platform, providing a plethora of opportunities for career enhancement - along with the chance to collaborate with some of the industry’s highly skilled and driven professionals. Our clientele comprises individuals, businesses of different scales, affluent families, and large multinational corporations and institutions. We are enthusiastic about promoting growth in Africa., deriving genuine, tangible value for our clients and the communities we cater to, and offering a real sense of purpose for you.

Job Description

Provide infrastructure, tools, and frameworks utilized for addressing business issues end-to-end. Construct scalable infrastructure to support business insights derived from unprocessed data sources; focus on collecting, managing, analyzing, visualizing data, and developing analytical solutions. Responsible for expanding and optimizing Standard Bank's data and data pipeline design, while improving data flow and collection to support data initiatives ultimately.

Qualifications

Minimum Qualifications

• Bachelor's Degree Information Technology

Experience Required

• Data Monetization
• 5-7 years experience required
• Proficiency with big data tools: Hadoop, Spark, Kafka, etc. Familiarity with SQL and NoSQL relational databases, including Postgres and Cassandra. Hands-on experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc. Experience with AWS cloud services: EC2, EMR, RDS, Redshift. Familiarity with stream-processing systems: Storm, Spark-Streaming, etc. Proficiency with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.
• Strong analytic abilities pertaining to unstructured datasets. Creating processes that support data transformation, data structures, metadata, dependency, and workload management. A successful track record of manipulating, processing, and deriving value from vast unconnected datasets. Proficient in the message queuing, stream processing, and high-scale 'big data' data stores.
• Proficient SQL skills and experience with relational databases, query authoring (SQL) as well as working

Additional Information

Behavioral Competencies:

• Articulating Information
• Challenging Ideas
• Examining Information
• Exploring Possibilities
• Interpreting Data
• Meeting Timescales
• Producing Output
• Providing Insights
• Team Working
• Upholding Standards

Technical Competencies:

• Data Analysis
• Data Integrity
• Database Administration
• Knowledge Classification