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Job Description
Summary
We are seeking a highly skilled Informatica Developer to join our IT Services team. In this pivotal role, you will be responsible for designing, developing, and maintaining robust data integration solutions that drive business intelligence and operational efficiency. The ideal candidate will leverage extensive expertise in the Informatica ecosystem to ensure seamless data flow, high data quality, and optimal system performance across complex enterprise environments. This position is critical for transforming raw data into actionable insights while supporting the organization's strategic data initiatives.
Responsibilities
- Design, develop, and deploy complex ETL mappings and workflows using Informatica PowerCenter to facilitate efficient data movement.
- Implement and manage Informatica Data Quality (IDQ) rules to ensure data accuracy, consistency, and integrity throughout the data lifecycle.
- Conduct thorough data analysis and validation processes to verify the correctness of transformed data against source systems.
- Diagnose and resolve intricate ETL troubleshooting issues to minimize downtime and maintain high availability of data pipelines.
- Optimize existing ETL processes through performance tuning techniques, reducing execution times and resource consumption.
- Collaborate with cross-functional teams to gather requirements and translate business needs into technical data solutions.
Requirements
Requirements:
- Proven experience of 6 to 10 years in data integration, specifically within the IT Services sector.
- Proficiency in Informatica PowerCenter, including advanced skills in creating and managing mappings and workflows.
- Strong command of Informatica Data Quality (IDQ) for data cleansing, profiling, and standardization.
- Demonstrated ability in performance tuning to enhance the speed and efficiency of data processing jobs.
- Solid background in ETL development, with a focus on building scalable and maintainable data architectures.
- Expertise in data analysis and validation methodologies to ensure high-quality data delivery.
- Capability to effectively troubleshoot complex ETL issues in production and development environments.