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IDQ Developer

Location : Jacksonville, FL
Job Type : Temp/Contract
Reference Code : 6161566
Compensation : 60.00 USD/HOUR
Hours : Full Time
Required Years of Experience : 5+
Travel : No
Relocation : No
Industry : Healthcare- Techology/Informatics

Job Description :

The Informatica Data Quality Developer (IDQ Developer) will design, develop, program, test, deploy, maintain, and document a project's data quality procedures and outputs. The primary responsibilities 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. The IDQ Developer is responsible for including IT controls to protect the confidentiality, integrity, and availability of the application and data processed by the application. They will lead efforts, oversee work results, provide training and serve as a technical resource.


  • Profiling source data and determining all source data and metadata characteristics; Designing and executing a Data Quality Audit/Assessment; as well as executing the data quality mappings which will cleanse, de-duplicate, and prepare the project data

  • Implementing data quality processes (including transliterating, parsing, analyzing, standardizing and enriching) at point of entry and batch modes; Deploying mappings that will run in a scheduled, batch, or real-time environment.

  • Collaborating with various business and technical teams to gather requirements around data quality rules and proposing the optimization, then designing and developing these rules with IDQ

  • Utilizing Informatica Developer , Informatica Power Exchange , Informatica Metadata Manager , and Informatica Analyst to design and develop custom objects and rules, reference data tables and create/import/export mappings

  • Developing "matching" plans, helping determine best matching algorithms, configuring identity matching and analyzing duplicates

  • Build complex profiles and scripts to execute and test mappings and workflows to implement data stewardship and exception processing

  • Building workflow scenarios and IDQ scorecards to support data remediation

  • Running data quality specific ETL jobs, and utilizing IDQ and other ETL tools

  • Serving as the primary resource to team members and data stewards for training, problem resolution, data profiling

  • Analyzing and providing data metrics to management in order to help prioritize areas for data quality improvement

  • Participating in the improvement of master data management processing and supporting transactional systems and processes

  • Performing both record-level and large-scale manual additions, adjustments and corrections to ensure data quality and integrity

  • Writing code and programs for complex system designs that span platforms.

  • Coding to create Application Programming Interfaces (APIs)

Required Qualifications :

  • 7+ years of IT development,programming, and coding with a minimum of 5 years of hands-on experience with Informatica Data Quality (IDQ) 

  • 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 

  • Excellent data analysis/data profiling skills using Informatica and Excel

  • Good knowledge on writing shell-scripts to invoke mappings or workflows

  • Proficient at writing SQL queries and verifying the results

  • Experience using Agile methodology

  • Experience migrating objects from IDQ to PowerCenter or other Informatica tools

  • Good at writing test scenarios, performing unit testing, and verifying the end results with business requirements

  • Bachelors degree in Computer Science or Information Technology or equivalent work experience

  • Experience with at least one end to end Master Data Management implementation is required




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