We are looking for a lead informatica data quality engineer to facilitate the operations of our data scientists. You will be responsible for designing, developing, programming testing, deploying, maintaining, and documenting a project's data quality procedures and its outputs. 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. You will lead efforts, oversee work results, provide training and serve as a technical resource for other Developers.
Key Deliverables:
• IDQ development around data profiling, cleansing, scorecards, parsing, standardization, verification, matching and data quality exception monitoring and handling
• Analyze data related to different domains- retail, customer, HR using Informatica Analyst
• Designing, developing, testing, deploying, and documenting the data quality procedures and its outputs.
• Profile the source data, define or confirm the definition of the metadata, cleanse and accurately check the data, check for duplicate or redundant records, and provide information on how to proceed with DQ rules.
• Experience with creating SQL procedures, views, subqueries, multiple SQL joins, unions to perform various data extraction tasks and developing triggers for updating or inserting new records
Mandatory Skills:
• Hands-on experience with Informatica Data Quality (IDQ)
• Strong SQL skills with the ability to tune and optimize complex queries
• Incorporating process changes and updates into the Standard Operation Procedures.
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