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 r esponsible 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 understand 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, OKRs, 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 audit tool requirements to develop a data quality and auditing tool
• Work with cross functional domains to gather and develop 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, warehousing, and governance practices
• Familiarity with common enterprise systems (SAP, CRM, HRM, etc.) and integrating data from such systems into the Celonis platform
• Hands-on experience with process automation and orchestration tools 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), the world's leading specialty measurement company, has pioneered chromatography, mass spectrometry and thermal analysis innovations serving the life, materials, and food sciences for over 60 years. With approximately 8,000 employees worldwide, Waters operates directly in 35 countries, including 15 manufacturing facilities, with products available in more than 100 countries. Our team focuses on creating business advantages for laboratory-dependent organizations to enable significant advancement in healthcare delivery, environmental management, food safety, and water quality.

Working at Waters enables our employees to unlock the potential of their careers. Our global team is driven by purpose. We strive to be better, learn and improve every day in everything we do. We’re the problem solvers and innovators that aren’t afraid to take risks to transform the world of human health and well-being. We’re all in it together delivering benefit as one to provide the insights needed today in order to solve the challenges of tomorrow.

Diversity and inclusion are fundamental to our core values at Waters Corporation. It is our responsibility to actively implement programs and practices to drive inclusive behavior and increase diversity across the organization. We are united by diversity and thrive on it for the benefit of our employees, our products, our customers and our community. Waters is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or protected Veteran status.