Senior Data Engineer – Manufacturing Data Products

Job Description

Senior Data Engineer – Manufacturing Data Products

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. Join a team that is passionate about using data, analytics, and insights to drive decision-making and create custom software, allowing us to tackle some of the world's greatest health threats.

Our Technology Centres focus on creating a space where teams can come together to deliver business solutions that save and improve lives. An integral part of our company's IT operating model, Tech Centres are globally distributed locations where each IT division has employees to enable our digital transformation journey and drive business outcomes. These locations, in addition to the other sites, are essential to supporting our business and strategy.

A focused group of leaders in each Tech Centre helps ensure we can manage and improve each location, from investing in the growth, success, and well-being of our people to making sure colleagues from each IT division feel a sense of belonging, to managing critical emergencies. Together, we must leverage the strength of our team to collaborate globally to optimize connections and share best practices across the Tech Centres.

Role Overview:

The Senior Data Engineer will lead the design and development of scalable data pipelines and reusable data products, models and assets that support external partner integration and broader divisional use in organization. This role will be responsible for understanding business/data requirements, formulating appropriate solution architectures, building data structures and models supporting business goals, and generally providing technical leadership to the group. This role requires deep expertise in cloud-native data engineering, data contracts, and medallion architecture (Bronze/Silver/Gold layers). This role will work closely with cross-functional teams to implement a common data model, support data mesh principles, and enable AI/ML capabilities across the platform. The engineer must demonstrate fluency with cloud technologies, such as AWS, and big data environments.  Collaboration and the ability to communicate solutions to a non-technical audience is key. Relevant knowledge of manufacturing processes and systems is big benefit, including manufacturing execution, lab management, ERP, quality, and supply chain.  Interest in mentoring and leading other colleagues is a plus.

What will you do in this role:

• Build sets of reusable data products to support multiple digital and analytical solutions across the division.

• Design and implement ingestion pipelines from external partners (CMOs/CTLs) using structured data contracts.

• Build and maintain medallion architecture (Bronze, Silver, Gold layers) to support real-time and batch data processing.

• Enable data contextualization, lineage, and observability across ingestion and transformation layers.

• Support FAIR data principles (Findable, Accessible, Interoperable, Reusable) through mesh architecture and localized data ownership.

• Integrate legacy systems (ERP, MES, LIMS, QMS) into a unified analytics platform.

• Implement scalable orchestration using tools like Apache Airflow or Dagster.

• Contribute to AI/ML model deployment pipelines and support AI-augmented analytics.

• Ensure compliance with data governance, security, and regulatory standards (e.g., GxP).

• Participate in DevSecOps practices and CI/CD pipelines for data deployments.

• Work with suite of AWS cloud services and other modern cloud technologies and capabilities and participate in the continuous push for new patters and technology.

What Should you have:

• 10+ years in data engineering or related IT roles.

• 5+ years in cloud-native data platforms (AWS preferred) and big data environments.

• Strong experience with SQL, Python, DBT, and data lakehouse architectures.

• Hands-on experience with AWS services (S3, Glue, IAM, DMS), Trino, and GitHub.

• Familiarity with data mesh, data contracts, and medallion architecture.

• Experience with orchestration tools (Apache Airflow, Dagster) and streaming data (Kafka, Kinesis).

• Understanding of manufacturing data domains (quality, supply chain, production).

• Significant working experience with data analysis and data modeling.

• Knowledge of master/reference data management and metadata frameworks.

• Strong collaboration and communication skills, especially across global teams.

Preferred Qualifications:

• Experience working with external manufacturing partners or in regulated industries.

• Exposure to AI/ML model integration and ML Ops practices.

• Familiarity with data governance tools and observability platforms.

Who we are: 

We are known as Merck & Co., Inc., Rahway, New Jersey, USA in the United States and Canada and MSD everywhere else. For more than a century, we have been inventing for life, bringing forward medicines and vaccines for many of the world's most challenging diseases. Today, our company continues to be at the forefront of research to deliver innovative health solutions and advance the prevention and treatment of diseases that threaten people and animals around the world.
 

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Search Firm Representatives Please Read Carefully 
Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company.  No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails. 

Employee Status:

Regular

Relocation:

VISA Sponsorship:

Travel Requirements:

Flexible Work Arrangements:

Hybrid

Shift:

Valid Driving License:

Hazardous Material(s):

Required Skills:

Benefits Management, Business, Business Analysis, Business Data Analytics, Business Process Improvements, Data Analysis, Data Analytics, Data Development, Data Integration, Data Modeling, Governance Management, Management Process, Program Management, Stakeholder Relationship Management, Statistical Data Modeling, Strategic Planning, Strategic Sourcing, Workforce Planning

Preferred Skills:

Job Posting End Date:

09/10/2025

*A job posting is effective until 11:59:59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date.