Technical Specialist at FNB South Africa

Job Description

• To design, build, and maintain scalable data pipelines and data model environments that support business intelligence, analytics, and cloud migration initiatives. The role involves hands-on development, automation, troubleshooting, and collaboration with cross-functional teams to ensure data integrity, performance, and security.

Data Engineering & ETL Development

• Build and maintain data pipelines using Ab Initio ETL graphs from source systems to target platforms.
• Develop and optimize complex SQL queries for data extraction, transformation, and loading.
• Configure and test Ab Initio graphs across various platforms including Hadoop, Kafka, Hive, and flat files.

Version Control & CI/CD

• Create and manage Bitbucket repositories for code versioning.
• Set up and maintain CI/CD pipelines using Bamboo for automated builds and deployments.
• Review and validate developers’ data model code for quality and consistency.

Cloud Migration & Big Data

• Support data migration projects to AWS Cloud Technologies including S3, Lake Formation, Athena, Glue, and Redshift.
• Test and validate big data processing on HDFS, Hive, and Spark environments.

Production Support & Troubleshooting

• Provide technical support for production ETL and analytic data model failures.
• Collaborate with stakeholders to resolve data-related technical issues and infrastructure needs.
• Schedule and manage jobs using Control-M for automated data processing.

Data Governance & Security

• Conduct security assessments and recommend disaster recovery strategies for data applications.
• Ensure data lineage is accurately maintained using Ab Initio Data Catalogue.
• Validate and cleanse sensitive data, ensuring compliance with data governance standards.

Collaboration & Stakeholder Engagement

• Work closely with analysts, developers, and business stakeholders to understand data requirements.
• Assist in resolving technical challenges and improving data infrastructure reliability.

Core Technologies

• Ab Initio (ETL & Technical Repository Management)
• SQL (Netezza Proc SQL)
• Python
• Spark
• AWS (S3, Glue, Athena, Lake Formation, Redshift)

Additional Tools & Platforms

• Control-M
• Bitbucket
• Bamboo
• Zeppelin
• Putty / WinSCP
• Kafka
• Linux
• Hadoop / HDFS / Hive

Other Competencies

• Strong understanding of data validation, cleansing, and verification.
• Experience with data lineage and metadata management.
• Ability to troubleshoot complex data issues in production environments.
• Excellent communication and collaboration skills.

Qualifications

• Bachelor’s Degree in Computer Science, Information Systems, or related field.
• Certifications in AWS, Big Data, or ETL tools are advantageous.

End Date: November 17, 2025