Specialist, Data 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.  

Our Technology Centers 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 Centers 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 Center helps to ensure we can manage and improve each location, from investing in 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. And together, we must leverage the strength of our team to collaborate globally to optimize connections and share best practices across the Tech Centers.  

Role Overview 

We are looking for a Data Engineer with experience in designing, building, and maintaining scalable data pipelines and data platforms. The ideal candidate will play a key role in shaping our data ecosystem by enabling high-quality, reliable, and accessible data for analytics and decision-making. 

Key responsibilities: 

Data Pipeline Engineering 

• Design, build, and optimize scalable data pipelines workflows 

• Ensure efficient and reliable data ingestion from multiple structured and unstructured sources 

Data Architecture & Modeling 

• Collaborate with architects to design and maintain robust, scalable data architectures 

• Apply data modeling techniques (dimensional, normalized, star schema) to support analytics 

Database & Platform Management 

• Manage and optimize relational and non-relational databases 

• Ensure high performance, scalability, and reliability of data storage systems 

Data Processing & Transformation 

• Develop data transformation logic to prepare high-quality datasets for analytics and reporting 

• Validate and ensure data accuracy, consistency, and completeness 

Collaboration & Enablement 

• Partner with data analysts, data scientists, and business stakeholders to understand data needs 

• Enable data-driven initiatives by delivering clean, well-structured datasets 

Monitoring & Support 

• Monitor pipelines and data systems for performance, availability, and reliability 

• Troubleshoot and resolve data issues proactively 

Documentation & Governance 

• Maintain clear documentation of data pipelines, models, and workflows 

• Ensure adherence to data governance, security, and privacy standards 

Required Qualifications 

Education 

• Bachelor’s degree in Computer Science, Information Technology, Data Science, or a related field 

Experience 

• 3–5+ years of experience in data engineering or related roles 

Technical Skills 

• Strong SQL skills with hands-on experience in relational databases (PostgreSQL, MySQL, etc.) 

• Experience with big data technologies such as Spark, Hadoop, or Kafka 

• Experience with cloud platforms (AWS, Azure, or Google Cloud) and their data services (e.g., Redshift, BigQuery, Synapse) 

• Familiarity with Databricks, dbt, Airflow 

• Programming experience in Python and/or Java 

• Understanding of modern data modeling techniques (star schema, dimensional, normalized) 

Additional Skills 

• Strong analytical and problem-solving skills 

• Ability to work with complex datasets and derive meaningful insights 

• Excellent communication and collaboration skills 

• Experience working in Agile environments 

• Ability to quickly learn and adapt to new technologies 

• Experience with CI/CD practices for data pipelines 

Preferred Qualifications 

• Experience with data visualization tools (Tableau, Power BI) 

• Exposure to machine learning concepts and frameworks 

• Familiarity with modern data architectures such as data lakehouse, data mesh, or data fabric 

• Experience with Collibra (data cataloging) and Immuta (data access/governance) 

• Prior experience in healthcare or pharmaceutical domain 

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 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.  

What we look for:  

Imagine getting up in the morning for a job as important as helping to save and improve lives around the world. Here, you have that opportunity. You can put your empathy, creativity, digital mastery, or scientific genius to work in collaboration with a diverse group of colleagues who pursue and bring hope to countless people who are battling some of the most challenging diseases of our time. Our team is constantly evolving, so if you are among the intellectually curious, join us—and start making your impact today.