Senior Data Quality Engineer
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Key skills for this role
About the Role
Socium seeks a Senior Data Quality Engineer for a 4-month contract in Abu Dhabi. The role focuses on ensuring high-quality enterprise data using IBM tools and Python. Requires strong experience with IBM Cloud Pak for Data, DataStage, DB2 Warehouse, and Watson Knowledge Catalog.
Key Skills for This Role
Responsibilities
- Develop and execute data quality and profiling solutions using Python and IBM tools
- Implement and maintain enterprise grade data quality rules, controls, and monitoring frameworks
- Work with IBM Cloud Pak for Data to support data ingestion, transformation, and governance workflows
- Design and optimize ETL pipelines using IBM DataStage for batch ingestion and data processing
- Ensure data consistency and integrity across enterprise data warehouse environments (IBM DB2 Warehouse)
- Collaborate with data architects and governance teams to define and enforce data standards
- Support metadata management and data cataloging initiatives using IBM Watson Knowledge Catalog
- Develop and maintain data models and architecture documentation aligned with enterprise standards
Requirements
- Strong experience across the IBM data ecosystem
- Python based data processing and profiling capabilities
- Hands on experience in data profiling, data transformation, metadata management, and enterprise data modeling
- Experience with IBM Cloud Pak for Data, DataStage, DB2 Warehouse, Watson Knowledge Catalog
- Preference for candidates with UAE Golden Visa, Freelance Visa, or self sponsorship ability
Full Job Posting
Job Overview
- Location: Abu Dhabi (Onsite)
- Contract Duration: Initial 4 months extendable
- Visa Requirements: Preference for UAE Golden Visa, Freelance Visa, or self sponsorship
Key Responsibilities
- Develop and execute data quality and profiling solutions using Python and IBM tools
- Implement and maintain enterprise grade data quality rules, controls, and monitoring frameworks
- Work with IBM Cloud Pak for Data to support data ingestion, transformation, and governance workflows
- Design and optimize ETL pipelines using IBM DataStage for batch ingestion and data processing
- Ensure data consistency and integrity across enterprise data warehouse environments (IBM DB2 Warehouse)
- Collaborate with data architects and governance teams to define and enforce data standards
- Support metadata management and data cataloging initiatives using IBM Watson Knowledge Catalog (WKC)
- Develop and maintain data models and architecture documentation aligned with enterprise standards
Tool Stack
- Data Catalog & Governance: IBM Watson Knowledge Catalog (WKC), Metadata management and data governance practices
- Data Quality & Profiling: Python Notebooks, IBM Cloud Pak for Data (CP4D), IBM DataStage (ETL / batch ingestion), IBM Quality Stage, Data profiling, cleansing, and validation techniques
- Data Warehouse & Engineering: IBM DB2 Warehouse, Data transformation and pipeline development, Enterprise scale data integration experience
- Data Architecture & Modeling: IBM InfoSphere / IBM Data Architect, Data modeling experience (logical and physical), Erwin Data Modeler (including reverse engineering)
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