Informatica Data Quality Architect
2 weeks ago
The Informatica Data Quality Architect (IDQ Architect) is responsible for designing the DQ framework and roadmap for an organization using Informatica IDQ.
The primary tasks associated with this role are to use Informatica Data Quality to profile the project source data, define or confirm the definition of the metadata, cleanse and validate the project data, check for duplicate or redundant records, and provide data consuming parties with concrete proposals on how to proceed with solution development.
- Minimum 5 years of handson experience with Informatica Data Quality (IDQ) toolset (Version 10.x preferred) and proficiency in IDQ development around data profiling, cleansing, parsing, standardization, verification, matching and data quality exception monitoring and handling.
- Excellent knowledge on Informatica platform as a whole and the integration among different Informatica components and services.
- Excellent data analysis and data profiling skills using Informatica and Excel.
- Good understanding of data governance principals and strong experience on data quality development and issue management and remediation.
- Good communication and presentations skills and ability to lead meetings effectively. Ability to multitask with strong attention to detail and analytical skills.
- Strong work ethic with a highly positive, handson, cando attitude.
- Profile source data and determine all source data and metadata characteristics.
- Design and execute a Data Quality Audit/Assessment.
- Design and execute the data quality mappings that will cleanse, deduplicate, and otherwise prepare the project data.
- Implement data quality processes including transliteration, parsing, analysis, standardization and enrichment at point of entry and batch modes.
- Deploy mappings that will run in a scheduled, batch, or realtime environment.
- Document all mappings, mapplets, and rules in detail and hand over documentation to the customer.
- Collaborate with various business and technical teams to gather requirements around data quality rules and propose the optimization of these rules if applicable, then design and develop these rules with IDQ.
- Serve as the primary resource to team members and data stewards for training, problem resolution, data profiling etc.
- Analyse and provide data metrics to management in order to help prioritize areas for data quality improvement.
- Participate in improvement of master data management process and support transactional systems and processes.
- Good knowledge on writing shellscripts to invoke mappings or workflows. Good at writing SQL queries and verifying the results.
- Should be familiar in migrating object from IDQ to PowerCenter. Should be familiar in deploying and validating objects to different environments.
- Good at writing Test scenario and perform Unit Test and verifying the end results with business requirements. Assist with special projects or adhoc reviews as needed.
Employee Status :
Full Time Employee
Shift :
Day Job
Travel :
No
Job Posting :
Jan
About Cognizant
Job ID COGNGLOBAL
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