About this role
Eligibility
Qualification:
- Minimum Bachelor’s degree in Computer Science, Information Technology, or Software Engineering from an HEC-recognized institute/university.
- Qualification in Islamic Finance will be an added advantage.
Experience:
- 7+ years’ experience in Data Engineering, ETL/ELT, Data Warehousing, and enterprise integration, with hands-on expertise in IBM DataStage, DB2W, Big SQL, batch/real-time pipelines, complex transformations, CDC/incremental processing, API/file integration, streaming, distributed processing, migration, data quality, automated validation, source-to-target reconciliation, and complex integration scenarios.
Skills Required :
- Strong proficiency in SQL, IBM DataStage, DB2W, Big SQL, and ETL/ELT.
- Expertise in data warehousing, modelling, and batch/real-time data integration.
- Proficiency in data quality, profiling, validation, cleansing, reconciliation, and control checks.
- Knowledge of data lineage, governance, CDC, APIs, streaming, distributed processing, and lakehouse architectures.
Responsibilities:
- Leading complex ETL/ELT, batch, real-time, and enterprise data integration across DB2W, Big SQL, DataStage, Cognos, and other technologies.
- Collaborating with stakeholders, Data Modelers, Architects, BI, and Governance teams to deliver scalable, agile, governed, and high-performance data solutions.
- Establishing data quality controls, validation frameworks, source-to-target reconciliation, balancing checks, and exception handling.
- Implementing automated data integrity monitoring across critical data pipelines.
Department:
Data Analytics - Finance Department
Location:
Head Office - Karachi
Last Date:
October 21 st , 2026