Informatica Data Quality Developer

Skills

Bachelor’s degree in Business Computer Science Management Information Systems Engineering or a related experience Minimum 5 years of hands-on 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 Experience with Data Quality ETL and Data Integration and the needs for each in a mature data environment. Experience developing External calls workflows . Experience on SQL development. Must have the ability to build or interpret detailed project specifications to develop program logic and code. Strong analytical critical thinking and problem-solving skills Must be able to facilitate discussions and foster communications Must be a team player and able to operate under direction when needed Prior experience in defect analysis and bug fixes. Must love data. Be passionate and willing to think out of the box. – Preferred

Description

Our Master Data Management team is looking for an IDQ Developer focusing on data management, data quality and data governance as we continue our transformation to SAP. We are seeking a developer who understands the architecture and possibilities available with Data Quality and Data Analysis experience. Ideal candidates partner well with teammates in the execution of end to end, large-scale, sophisticated, data-focused technology projects. We work closely with our business teams, so the ability to build connections is critical for responding to technical queries, working with both on-site and off-site teams, handling and resolving project issues, as well as coaching, guiding, and mentoring junior members in the team. We need problem solvers who will help us identify problems, develop ideas, and propose solutions.

Responsibilities

• Translate functional requirements into technical requirements and development those technical requirements into code and interfaces which are used by our Global Business Services Team.
• 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, de-duplicate, 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 real-time 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
• Utilize “Informatica Developer” and “Informatica Analyst” to design and develop custom objects and rules, reference data tables and create/import/export mappings
• As per business requirements perform thorough data profiling with multiple usage patterns, root cause analysis and data cleansing and develop scorecards utilizing Informatica, Excel and other data quality tools
• Develop "matching" plans, help determine best matching algorithm, configure identity matching and analyze duplicates
• Build complex profiles and scripts to execute and test mappings and workflows to implement data stewardship and exception processing
• Run data quality specific ETL jobs (address standardization and validation, email cleanups, name cleanup, parsing, etc.) utilizing IDQ
• Analyze 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 shell-scripts to invoke mappings or workflows
• Good at writing SQL queries and verifying the results
• 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
• Perform both record-level and large-scale manual additions, adjustments and corrections to continuously ensure overall data quality and integrity
• Maintain excellent working relationship between internal (team and the whole organization) and external parties (vendors, customers)
• Assist with special projects or ad-hoc reviews as needed