Data Quality Developer

Job Description

Detailed understanding of any DQ tool Components.

Knowledge of any Data Quality standards, guidelines and best practices.

3+ years' experience in defining and deploying data quality programs and tools on enterprise data quality projects.

Experience in data profiling & data quality rules development using any Data Quality tools.

3+ years of data analyst experience performing data profiling, data mapping, data validation, data manipulation, data analysis, use case, test cases, etc.

Proven experience translating business problems into actionable data quality initiatives.

Familiarity with current trends in Data Quality technologies.

Experience developing web services-based applications with SOA.

Data mapping experience mapping data sources to and from multiple applications.

The Informatica Data Quality Developer (DQ Developer) is responsible for designing, testing, deploying, and documenting the data quality procedures and their outputs.

Throughout each project phase, the DQ Developer provides relevant outputs and results from the data quality procedures, including any ongoing procedures that will run after project end.

The DQ Developer must also document at a functional level how the procedures work within the data quality applications.

Perform data load and mappings from source systems as the scope of quality information increase across the enterprise.

Responsible for standards when creating mapplets and code migration from development through test.

Ensure oversight and access management for the DQ Repository.

Support all request for new API Connections.

Need to have good knowledge on different data quality transformations like Parser, , WebService Consumer transformation, Human Task etc.

Need to have good knowledge on Monitor tool and Analyst tool for creating profiles, score Cards, Data Steward records handling processed by human task (Exceptional handling).

Need to have good knowledge on Creating Workflows in any DQ tol and able to deploy in Application and monitoring, debugging workflows.

Able to Migrate DQ mappings from any DQ tool to Integration tool.

Good to have understanding on Data Quality Assessment approaches.

Develop and implement additional data quality monitoring based on requirements gathered from business units.

Managing and prioritizing a request queue for new data quality monitoring requests over new data elements, new data quality rules, and maintenance to existing rules.

Provide a high level of data quality awareness within the Data Service Delivery Unit assigned.

Provide reports for data matching consult on pattern analysis and provide insight to data quality errors.