IDQ Lead Developer

Key responsibilities • Assists IDQ leads & Architects in the development of the enterprise MDM data model • Develops efficient and tuned data pipelines as per the project data models • Evaluates and recommends new and emerging MDM/DQ technologies, methodologies and standards • Ensures consistency and compatibility with all other system technology components • Assists in developing the MDM data model and architecture • Utilizes a data modeling tool to develop "blueprints" for the Conceptual Data Model of the MDM architecture • Implements enterprise conceptual models to integrate master data from diverse data sources into conformed, high quality, and referentially sound enterprise master data model. • Implements master data modeling standards that includes naming standards, data quality indicators, data categorization, ETL attribute usage, data consistency and reuse, data quality. • Implements logical master data models using the data modeling tool for all layers in the MDM technical architecture framework or a DQ Dashboards. • Mitigates performance implications of various data modeling and architecture decisions at the logical and physical layer as related to ETL, ad hoc query access, and static reporting. • Reviews and validates master data models with stakeholders and subject matter experts. Qualifications and Requirements Essential qualifications • 7 years of experience in data quality development is required. • 5 years of experience in data integration or data management development. • 5 years of experience in data warehousing required • Informatica Code Migration trough Ansible playbook or any other significant CI/CD process • Hands-On on Informatica Data Quality tool is must • Working experience on Informatica MDM Project as IDQ developer will be added advantage • Working understanding of PowerBI or similar in memory analysis tool is preferred. • Experience with Agile development methodologies and concepts preferred. • Experience with the following disciplines is preferred: Data Warehousing, EAI, Metadata Management, Master Data Management (implementation and data stewardship), Data Quality Management, Relational Databases, Dimensional Databases, Semantics, Data Lifecycle Management, SQL, PL/SQL, UML, XML. • Common Manufacturing Operation procedures (like Raw materials, finished goods, suppliers, etc.) and the processes and procedures utilized to carry out Business Systems • Good written communication and meeting facilitation skills. • Excellent written communication and meeting facilitation skills required