Job Description

Bring your possibility to life! Define your career with us

With over 100 years of rich history and strongly positioned as a local bank with regional and international expertise, a career with our family offers the opportunity to be part of this exciting growth journey, to reset our future and shape our destiny as a proudly African group.

Job Summary The Data and Engineering division within Everyday Banking Physical Channels is looking for a Data Analyst

• To support in providing infrastructure, tools and frameworks used to deliver end-to-end solutions to business problems.
• Build against scalable infrastructure in supporting the delivery of business insights from raw data sources with a focus on collecting, managing, governing, analysing, visualising data and developing analytical solutions.
• Responsible for expanding and optimising the organisationxe2x80x99s data and data pipeline architecture, whilst optimising data flow collection and distribution to ultimately support data initiatives.

Experience Required

• Data and Analytics
• Strong analytic skills related to working with structured and unstructured datasets.
• Build processes supporting data transformation, data structures, metadata, dependency and workload management.
• A successful history of manipulating, processing and extracting value from large disconnected datasets.
• Working knowledge of message queuing, stream processing, and highly scalable 'big data' data stores.
• Working SQL knowledge and experience working with relational databases, query authoring (SQL)

Technical Competencies

• SQL Language Query
• Knowledge Classification
• IT Applications
• Data Analysis including relevant supporting tools SQL client, MS Excel etc.
• Experience with data integration solutions
• Experience with relational SQL and NoSQL databases, including PostgreSQL and MongoDB etc.
• Exposure and or experience with big data tools: Hadoop, Spark, Kafka, etc.
• Exposure and or experience with data pipeline and workflow management tools: Airflow, StreamSets etc.
• Exposure and or experience with stream-processing systems: Storm, Spark-Streaming, etc.
• Exposure and or experience with object-oriented/object function scripting languages: Python, Java etc.
• Exposure and or experience with database administration

Education

Bachelor's Degree: Information Technology

Absa Bank Limited is an equal opportunity, affirmative action employer. In compliance with the Employment Equity Act 55 of 1998, preference will be given to suitable candidates from designated groups whose appointments will contribute towards achievement of equitable demographic representation of our workforce profile and add to the diversity of the Bank.

Absa Bank Limited reserves the right not to make an appointment to the post as advertised

Absa