Data Engineer (AML Squad) (137583)
Data Engineer (AML Squad) (137583)
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1 Vacancy
Job Description
Requisition Details & Talent Acquisition Specialist
REQ 137583 Keabetswe Modise
Closing Date: 09 May 2025
Job Family
Information Technology
Career Stream
Data
Leadership Pipeline
Manager of Self Professional
Job Purpose
The purpose of the Data Engineer is to leverage their data expertise and data related technologies in line with the Nedbank Data Architecture Roadmap to advance technical thought leadership for the Enterprise deliver fit for purpose data products and support data initiatives. In addition Data Engineers enhance the data infrastructure of the bank to enable advanced analytics machine learning and artificial intelligence by providing clean usable data to stakeholders. They also create data pipelines Ingestion provisioning streaming self service API and solutions around big data that support the Banks strategy to become a data driven organisation.
Job Responsibilities
- Responsible for the maintenance improvement cleaning and manipulation of data in the banks operational and analytics databases.
- Data Infrastructure: Build and manage scalable optimised supported tested secure and reliable data infrastucture eg using Infrastructure and Databases (DB2 PostgreSQL MSSQL HBase NoSQL etc) Data Lakes Storage (Azure Data Lake Gen 2) Cloudbased solutions (SAS Azure Databricks Azure Data Factory HDInsight) Data Platforms (SAS Ab Initio Denodo Netezza Azure Cloud). Ensure data security and privacy in collaboration with Information Security CISO and Data Governance
- Data Pipeline Build (Ingestion Provisioning Streaming and API): Build and maintain data pipelines to:
- create data pipelines for data integration (Data Ingestion Data Provisioning and Data Streaming) utilising both On Premise tool sets and Cloud Data Engineering tool sets
- efficiently extract data (Data Acquisition) from Golden Sources Trusted sources and Writebacks with data integration from multiple sources formats and structures
- load the Nedbank Data Warehouse (Data Reservoir Atomic Data Warehouse Enterprise Data Mart)
- provide data to the respective Lines of Business Marts Regulatory Marts and Compliance Marts through self service data virtualisation
- provide data to applications or Nedbank Data consumers
- transform data to a common data model for reporting and data analysis and to provide data in a consistent useable format to Nedbank data stakeholders
- handle big data technologies (Hadoop) streaming (KAFKA) and data Replication (IBM Inphosphere Data Replication)
- drive utilisation of data integration tools ( Ab Initio) and Cloud data integration tools (Azure Data Factory and Azure Data Bricks)
- Data Modelling and Schema Build: In collaboration with Data Modellers create data models and database schemas on the Data Reservoir Data Lake Atomic Data Warehouse and Enterprise Data Marts.
- Nedbank Data Warehouse Automation: Automate monitor and improve the performance of data pipelines.
- Collaboration: Collaborate with Data Analysts Software Engineers Data Modelers Data Scientistsm Scrum Masers and Data Warehouse teams as part of a squad to contribute to the data architecture detail designs and take ownership of Epics endtoend and ensure that data solutions deliver business value.
- Data Quality and Data Governance: Ensure that reasonable data quality checks are implemented in the data pipelines to maintain a high level of data accuracy consistency and security.
- Performance and Optimisation: Ensure the performance of the Nedbank data warehouse integration patterns batch and real time jobs streaming and APIs.
- API Development: Build APIs that enable the Data Driven Organisation ensuring that the data warehouse is optimised for APIs by collaborating with Software Engineers.
Essential Qualifications NQF Level
- Matric / Grade 12 / National Senior Certificate
- Advanced Diplomas/National 1st Degrees
Preferred Qualification
- Field of Study: Bcom BSc BEng
Essential Certifications
Preferred Certifications
- Cloud (Azure AWS) DEVOPS or Data engineering certification. Any Data Science certification will be an added advantage Coursera Udemy SAS Data Scientist certification Microsoft Data Scientist.
Minimum Experience Level
- Total number of years of experience: 6 years
- Experienced at working independently within a squad and has the demonstrated knowledge and skills to deliver data outcomes without supervision.
- Experience designing building and maintaining data warehouses and data lakes.
- Experience with big data technologies such as Hadoop Spark and Hive.
- Experience with programming languages such as Python Java and SQL.
- Experience with relational databases and NoSQL databases.
- Experience with cloud computing platforms such as AWS Azure and GCP.
- Experience with data visualization tools.
- Resultdriven analytical creative thinker with demonstrated ability for innovative problem solving.
Technical / Professional Knowledge
- Cloud Data Engineering (Azure AWS Google)
- Data Warehousing
- Databases (PostgreSQL MS SQL IBM DB2 HBase MongoDB)
- Programming (Python Java SQL)
- Data Analysis and Data Modelling
- Data Pipelines and ETL tools (Ab Initio ADB ADF SAS ETL)
- Agile Delivery
- Problem solving skills
Behavioural Competencies
- Decision Making
- Influencing
- Communication
- Innovation
- Technical/Professional Knowledge and Skills
- Building Partnerships
- Continuous Learning
Please contact the Nedbank Recruiting Team at
Employment Type
Full Time
