Job Description

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 21st, 2026