Principal Data Engineer (Master Data)

Overview

Our Center for Process Excellence team is on a mission to improve business outcomes and employee experiences by driving step-change improvements in critical enterprise processes, and the technology and analytics supporting these.

We are looking for a Principal Data Engineer to join our Data Governance team, and the broader Data Engineer community in our Center for Process Excellence.

As a Principal Data Engineer, you will be responsible for implementing data pipelines, data quality audit apps, and process automations related to managing and improving data quality across all data domains. This will require you to execute MDM capabilities like data profiling, data duplication, data classification etc., Understand and implement business rules in various domains, define ground breaking solutions that meet the needs, and work collaboratively as part of a multi-functional team to deliver the solutions. Success will require close collaboration with stakeholders across multiple domains, and the ability to influence changes in a global organization. This position is ideally suited for an individual who is comfortable in a dynamic environment, with experience in conceptual and analytical problem solving related to Data Governance, Data Modeling, MDM capabilities, KPIs, Data Quality measurement and metrics.

This position will follow a hybrid model work approach( 3 days a week , Tuesday, Wednesday and Thursday working from GCC office, RMZ ecoworld, Bellandur, Bangalore and 2 days from home)

Responsibilities

• Work with team members to understand mdm and audit tool requirements to develop a data quality and mdm tool
• Work with cross functional domains to gather and develop data models, business rules and data quality rules based on use cases
• Develop and implement data quality and governance processes to ensure data accuracy and integrity
• Collaborate with data scientists, business process analysts, and other SMEs to ensure alignment on data quality objectives and technical requirements
• Build and customize data models, apps, automations, etc. on the Celonis platform to provide data-driven insights and process optimizations
• Design, develop, and implement data pipelines within the Celonis internal and external data sources (e.g., SAP, Salesforce, Marketo, SuccessFactors, ServiceNow)
• Integrate Celonis apps with other enterprise tools, ensuring smooth data flow and system interoperability
• Build automated workflows to integrate (with) other enterprise systems and applications
• Optimize and maintain large-scale data processing systems for performance, scalability, and reliability
• Provide ongoing support for Celonis applications and data pipelines, solving issues and ensuring high system uptime
• Maintain Single source of truth for all Business and Quality rules. Document technical specifications, solutions, and processes for future reference

Qualifications

• 8+ years dynamic experience in Data Quality Tool requirements, data engineering, data science, software development, analytics or similar roles
• Validated experience working with Celonis or equivalent platforms, including data quality development, data engineering, analytics, process mining, app development, and automation
• Track record of optimally completing projects across people, process, data, and technology in complex, global organizations
• Strong proficiency in data engineering and software development Experience with programming languages such as Python, SQL
• Solid understanding of data modelling, mdm, and governance practices
• Solid understanding with common enterprise systems (S4 Hana, Saleforce, etc.) and integrating data from such systems into the Celonis platform
• Hands-on experience with process automation and orchestration tools and AI Agents is a plus
• Familiarity with cloud platforms (e.g., Azure) and distributed data systems
• Ability to optimally translate business problems into implementable solutions with quantifiable business benefits
• Results oriented mentality, operates with high sense of urgency. Proven track record of solving problems, breaking down barriers and delivering results ahead of schedule
• Strong written and verbal communication
• Knowledge of business process modelling and process mining solutions a plus
• Experience working on an Agile / Scrum team a plus
• Product Owner and/or Scrum Master certifications a plus
• Bachelor's Degree in Computer Science, Data Engineering, or a related subject area. Master's Degree preferred

Company Description

Waters Corporation (NYSE:WAT)is a global leader in life sciences and diagnostics, dedicated to accelerating the benefits of pioneering science through analytical technologies, informatics, and service. With a focus on regulated, high-volume testing environments, our innovative portfolio harnesses deep scientific expertise across chemistry, physics, and biology. We collaborate with customers around the world to advance the release of effective, high-quality medicines, ensure the safety of food and water, and drive better patient outcomes by detecting diseases earlier, managing routine infections, and combating antibiotic resistance. Through a shared culture of relentless innovation, our passionate team of 16,000 colleagues turn scientific challenges into breakthroughs that improve lives worldwide.

Diversity and inclusion are fundamental to our core values at Waters Corporation. It benefits our employees, our products, our customers and our community. Waters complies with all applicable federal, state,and local laws. Qualified applicants are considered without regard to sex, race, color, ancestry, national origin, citizenship status, religion, age, marital status (including civil unions), military service, veteran status, pregnancy (including childbirth and related medical conditions), genetic information, sexual orientation, gender identity, legally recognized disability, domestic violence victim status,or any other characteristic protected by law. Waters is proud to be an equal opportunity workplace and is an affirmative action employer. All hiring decisions are based solely on qualifications, merit, and business needs at the time.