MSD Senior Manager Data Quality Engineer 

India, Telangana, Hyderabad 

750147814

Job Description

R3- Senior Manager, Data Quality Engineer

The Opportunity

• Based in Hyderabad, join a global healthcare biopharma company and be part of a 130- year legacy of success backed by ethical integrity, forward momentum, and an inspiring mission to achieve new milestones in global healthcare.
• Be part of an organisation driven by digital technology and data-backed approaches that support a diversified portfolio of prescription medicines, vaccines, and animal health products.
• Drive innovation and execution excellence. Be a part of a team with passion for using data, analytics, and insights to drive decision-making, and which creates custom software, allowing us to tackle some of the world's greatest health threats.

Role Overview

As a Data Quality Engineer you will play a pivotal role ensuring the quality of our data across all domains, which will directly influence patients who use our life-saving products. Key tasks include data integration, ETL (Extract, Transform, Load) processes, and building and managing data quality routines. If you are passionate about data governance and want to make a significant impact, we encourage you to apply.

What will you do in this role

As part of enterprise Data Quality platform team, you will contribute to our success in the following areas:

• Work with our divisional partners to onboard their data to our data quality platform and help drive adoption within their teams.
• Understand divisional requirements and codify them within the data quality platform
• Create and maintain data quality rules and checks.
• Review data quality reports and communicate findings with divisional stakeholders
• Train users on the platform, promoting consistent use.
• Contribute to the development and documentation of standards for platform usage.
• Perform product engineering and develop automation utilities.

What should you have

• Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent experience.
• Hands-on professional who has been in the technology industry for minimum 7-11 years as a Data Engineer.
• Strong level of SQL is a must.
• Knowledge of data transformation (ETL/ELT) routines.
• Strong understanding of REST APIs and how to use them programmatically.
• Experience with Collibra Data Quality and with data visualization tools is an advantage.
• Knowledge of GitHub and Python is an advantage
• Some experience with Spark/PySpark would be good.
• Good standard of professional communication and building working relationships with customers.
• Good time-management skills and ability to work independently.
• Innovative mindset, willingness to learn new areas and adapt to change.
• Strong work documentation habits with and attention to detail and accuracy.
• Critical analytical thinking and problem-solving attitude. Keen sense of urgency and customer focus.
• Team player spirit.

What we look for

Current Contingent Workers apply

Data Engineering, Data Visualization, Design Applications, Software Configurations, Software Development, Software Development Life Cycle (SDLC), Solution Architecture, System Designs, Systems Integration, Testing

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