Lead MDM Engineer

Role & responsibilities:

Design & Configuration:

• Develop and configure MDM and Data Quality tools such as Syndigo, Snowflake, and Alation.
• Perform data quality functions including audits, assessments, entity resolution, data profiling, scorecard development, and exception management configuration.
• Configure workflows for Products and Customer data in Syndigo and Winshuttle.
• Support the development of Master Data and IT system architecture roadmaps to improve e-commerce strategy, supply chain efficiency, and customer experience.
• Collaborate in an agile environment to design and build data solutions, ensuring thorough end-to-end testing.
• Implement data orchestration pipelines, data sourcing, cleansing, and quality control processes.
• Contribute to software verification plans and quality assurance procedures.
• Document and maintain data pipeline architecture.
• Contribute to IT standards, procedures, and processes.
• Document and maintain software functionality.

Training & Support:

• Develop & maintain technical design documentation.
• Create and maintain relevant project documentation throughout SDLC
• Create clear and concise training documentation
• Lead end-to-end delivery of technical solutions
• Support the installations, maintenance, and upgrades of MDM tools
• Create test cases and support user testing throughout relevant test cycles.

Preferred candidate profile:

• Bachelor's degree in computer science, systems analysis, or a related study, or equivalent experience.
• Requires mastery-level knowledge of the job area obtained either through advanced education, experience, or both.
• Should have a minimum of 4 years of Experience in Data Management and Data Quality solutions. Of which a minimum of 3 years of experience in the Syndigo application is required.
• Data Quality related certifications (i.e., GS1, CIMP, IQCP, ICP, CDMP, and CMMI Enterprise Data Management) are a plus.
• Should have a conceptual understanding of SAP and PLMs with a strong understanding of Key business processes involving Customer & Product Master data.
• Should have an in-Depth Knowledge of SQL, Python, & Snowflake.
• Knowledge of Cloud-based solutions and Alation/Data Governance tools (preferable)
• Strong Analytical and Problem-Solving Skills.
• Knowledge of Agile/Waterfall methodologies.
• Ability to effectively communicate, orally and writing, with IT & Business stakeholders
• Propensity to learn innovative technologies and approaches and use this knowledge to enhance Smith & Nephew's strategy, standard practices, and processes.
• Ability to prioritize tasks and adapt to frequent changes in priorities
• Ability to work in a distributed team setting and a fast-paced environment

Perks and benefits

• Major medical coverage + policy exclusions and insurance non-medical limit. Educational Assistance.
• Flexible Personal/Vacation Time Off, Privilege Leave, Floater Leave.
• Parents/Parents-in-Laws Insurance (Employer Contribution of 8,000/- annually), Employee Assistance Program, Parental Leave.
• Hybrid Work Model
• Hands-On, Team-Customized Mentorship
• Extra Perks: Free Cab Transport Facility for all employees; One-Time Meal provided to all employees as per shift. Night shift allowance for shift-based roles.