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WebMethods Developer

Job in Dubai, Dubai, UAE/Dubai
Listing for: Dicetek LLC
Full Time position
Listed on 2026-06-27
Job specializations:
  • IT/Tech
    Data Engineering, Data Warehousing
Salary/Wage Range or Industry Benchmark: 167400 - 279000 AED Yearly AED 167400.00 279000.00 YEAR
Job Description & How to Apply Below

Responsibilities

Build scalable data integration solutions, ensuring high data quality while working across enterprise data platforms and Informatica tools. Design, develop, and maintain integration solutions using the web Methods platform.

Build and optimize ETL/ELT workflows for data movement across systems. Develop robust data mapping and transformation logic based on business requirements.

Ensure data quality through cleansing, validation, and standardization across datasets.

Perform performance tuning of integration jobs and data pipelines.

Apply understanding of data warehousing concepts in solution design. Work extensively with SQL for data extraction, transformation, and analysis.

Collaborate with business and technical teams to define data integration requirements.

Core Skills
  • web Methods (Integration Server, Designer, Broker, or equivalent)
  • ETL / ELT design and implementation experience
  • Data mapping, transformation, and integration design
  • Data quality and cleansing techniques
  • Performance tuning of ETL and integration processes
  • Understanding of data warehousing concepts
  • Advanced SQL skills (query optimization, joins, complex queries)
  • Informatica Power Center – ETL development and workflow orchestration
  • Informatica Cloud Data Integration (IICS) – Cloud-based ETL pipelines
  • Informatica Data Quality (IDQ) – Data profiling, cleansing, and standardization
  • Informatica MDM – Master data management and golden record creation
  • Informatica Data Governance – Data policies, compliance, and stewardship
  • Informatica Data Catalog – Metadata management and data lineage tracking
Preferred Skills
  • Experience integrating web Methods with enterprise data platforms
  • Knowledge of API integrations and middleware architecture
  • Exposure to cloud platforms and hybrid data environments
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