Informatica IDQ Developer - Cloud

Our Data Trust team is currently seeking a full-time IDQ Informatica Developer to join us. This position is open for remote work within the United States.

Hands-On Technical ExperienceWho can help you with coding IDQ mapplets, workflows, and rules for deploying validation checks to ensure data quality? I am also capable of crafting DQ scorecards to validate data across different dimensions. I can profile source data and resolve its metadata characteristics, and complete a data quality audit/assessment. I can craft and complete data quality mappings to cleanse, develop, and implement functions, stored procedures, and ETL jobs using IPC or IICS. I have experience in implementing complex queries against large datasets to support business intelligence functions, and I am aware of integration between different source and target systems. Additionally, I can assist in deploying mappings that will run in a scheduled, batch, or real-time environment.

Key skills the client is looking for: Need strong IDQ Looking for a candidate with more than just development experience. The ideal candidate should be able to build or adapt to a given framework to promote reusability. Automation and scalability are key focuses, as well as the ability to build rules with real-time and batch calls. It is essential that the candidate perform audit checks and balances. They should have a thorough understanding of IDQ / DQ concepts, architecture, and framework implementation, and be able to manage multiple projects simultaneously. Additionally, the candidate should have experience as an onsite IDQ Capability lead, and be proficient with Informatica IDQ, project management, and customer interaction. A minimum of 8-10 years of experience in the design, development, and configuration of IDQ is required, along with recent experience working with DQ tools and reporting toolsets, including rule development, testing, issue tracking, reporting, and DQ dashboard design.

Leadership ResponsibilitiesAs a knowledgeable assistant, he /she can assist with ensuring that IDQ's best practices and performance optimization methods are followed. They can lead all aspects and oversee the design, development, and deployment efforts of multiple IDQ project teams. Additionally, They can identify the need for data quality in existing and new use cases and work with business data stewards to establish quality rules and controls through profiling. They can also assist with identifying and resolving data quality issues in various functions. They expertise includes profiling, validation, standardization, error handling, and data cleansing using IDQ. They can review code developed by others and provide input to promote programming standards. Lastly, They can analyze and provide data metrics to management to help prioritize areas for data quality improvement.

Key Skills

• Project Management