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 extendable contract in Abu Dhabi. You will ensure high-quality enterprise data using IBM tools and Python, focusing on data profiling, transformation, metadata management, and governance.
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 combined with Python based data processing and profiling capabilities
- Hands on experience in data profiling, data transformation, metadata management, and enterprise data modeling within IBM centric environments
- Preference given to candidates holding UAE Golden Visa, UAE Freelance Visa, or ability to self sponsor
Full Job Posting
About the Role
- We are seeking a Data Quality Engineer with strong experience across the IBM data ecosystem, combined with Python based data processing and profiling capabilities.
- The role focuses on ensuring high quality, trusted, and well governed enterprise data across large scale data platforms, supporting analytics and data driven initiatives.
- The ideal candidate will have hands on experience in data profiling, data transformation, metadata management, and enterprise data modeling within IBM centric environments.
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 (CP4D) 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 QualityStage, 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).
Visa Requirements
- Preference will be given to candidates who: Hold a UAE Golden Visa, Hold a UAE Freelance Visa, Can self sponsor and obtain their own work permit.
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