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Data Engineer; Ab Initio & Redshift/PostgreSQL
Job in
Johannesburg, 2000, South Africa
Listed on 2026-02-16
Listing for:
EQPLUS TECHNOLOGIES PTY LTD
Full Time
position Listed on 2026-02-16
Job specializations:
-
IT/Tech
Data Engineer, Data Analyst, Data Warehousing
Job Description & How to Apply Below
Gauteng, Johannesburg
1,344,000 - 1,500,000 Cost To Company
We are seeking an experienced Data Engineer with strong expertise in Ab Initio and Amazon Redshift / PostgreSQL to design, build, and optimize high-performance data solutions within the financial services and banking environment
. The ideal candidate is passionate about data integrity, scalability, and delivering trusted data for analytics, reporting, and regulatory needs.
- Design, develop, and maintain Ab Initio ETL/ELT pipelines for large-scale enterprise data platforms
- Build and optimize data models and transformations in Amazon Redshift and PostgreSQL
- Ensure high data quality, accuracy, and consistency across banking data domains
- Collaborate with business analysts, data architects, and stakeholders to translate requirements into technical solutions
- Optimize query performance, data loading processes, and storage strategies
- Support regulatory, risk, compliance, and reporting use cases
- Monitor, troubleshoot, and resolve data pipeline and performance issues
- Adhere to data governance, security, and banking compliance standards
- 5+ years experience as a Data Engineer (financial services or banking preferred)
- Strong hands‑on experience with Ab Initio (GDE, Co>
Operating System, metadata, performance tuning) - Advanced expertise in Amazon Redshift and Postgre
SQL (SQL, optimization, indexing, schema design) - Solid understanding of data warehousing concepts, ETL/ELT patterns, and dimensional modeling
- Experience working with large, complex datasets in enterprise environments
- Familiarity with banking data domains (transactions, customers, risk, finance, compliance)
- Strong problem‑solving and analytical skills
- Experience with AWS ecosystem (S3, Glue, Lambda, IAM)
- Exposure to data governance, lineage, and metadata management tools
- Knowledge of Python or shell scripting
- Experience in Agile / Dev Ops data environments
- Opportunity to work on mission‑critical banking data platforms
- Collaborative, high‑impact data engineering environment
- Competitive salary and benefits
- Career growth within a leading financial services organization
Lufuno Ramarumo
#J-18808-LjbffrPosition Requirements
5+ Years
work experience
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