MSD
Website:
msd.com
Company:
https://www.linkedin.com/company/msd-global
Seniority: Not Applicable
Industries: Biotechnology Research, Pharmaceutical Manufacturing, and Veterinary Services
Job details:
Job Description
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 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 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 Centers.
Role Overview
This role is part of a broader enterprise initiative to establish a
Data Context Layer (DCL) — a foundational capability designed to provide consistent, reusable, and scalable context across enterprise data products.
The DCL is intended to address challenges related to
data fragmentation, lack of shared semantics, and inconsistent interpretation of data across systems and products. It establishes a unified layer for representing context, relationships, and meaning, enabling downstream products to operate with greater consistency, interoperability, and intelligence.
In addition, the DCL plays a critical role in enabling
agentic AI capabilities across the enterprise by providing the structured context and semantic grounding required for intelligent agents to operate reliably. This includes ensuring that agent-driven workflows and decisions are based on
consistent, governed, and interpretable data context, reducing risks associated with fragmentation, ambiguity, and lack of control.
Within this initiative, we are seeking a Data Engineer with strong experience in
AWS cloud technologies to design, build, and maintain scalable data pipelines and data products that support enterprise data context, analytics, and AI-enabled use cases. This role will focus on ingesting, transforming, validating, and delivering high-quality data in cloud-native environments so it can be used reliably across applications, platforms, and downstream consumers.
The ideal candidate has hands-on experience with data engineering, cloud data platforms, and operationalizing data at scale. Familiarity with
data context, semantic systems, ontologies, agentic AI, prompt engineering, and context engineering is preferred, as the data products may feed context-serving layers and AI workflows.
Key Responsibilities
What will you do
- Design, build, and maintain scalable data pipelines in AWS.
- Ingest data from enterprise source systems into cloud-based storage and processing environments.
- Transform and curate data into reliable datasets and data products for downstream consumption.
- Implement data quality checks, validation rules, lineage tracking, and monitoring.
- Work with platform, architecture, and application teams to ensure data products are aligned to enterprise standards.
- Support batch, near-real-time, and event-driven data processing patterns where appropriate.
- Optimize data pipelines for performance, reliability, scalability, and cost efficiency.
- Ensure secure handling of data through access control, encryption, and compliance-aligned practices.
- Document data models, pipeline logic, operational procedures, and data dependencies.
- Support production readiness, incident resolution, and continuous improvement of data services.
- Help ensure data can support both traditional analytics use cases and agentic AI workflows that depend on trusted, structured context.
Required Qualifications
What should you have
- 5+ years of experience in data engineering or related software engineering roles.
- Strong hands-on experience with AWS cloud technologies.
- Experience building and maintaining data pipelines, ETL/ELT processes, and data transformation workflows.
- Familiarity with data quality, governance, lineage, and monitoring concepts.
- Experience working with structured, semi-structured, and/or large-scale enterprise data.
- Ability to collaborate with architects, platform teams, analysts, and application teams.
- Familiarity with data context, semantic concepts, or metadata-driven systems.
- Working knowledge of agentic AI, prompt engineering, and context engineering concepts.
Preferred Qualifications
- Experience with AWS services such as S3, Glue, EMR, Redshift, Athena, Lambda, Step Functions, Kinesis, Lake Formation, IAM, and CloudWatch.
- Familiarity with ontologies, OWL, RDF, knowledge graphs, MCP, A2A, or timbr-like technologies.
- Experience supporting AI-enabled or context-driven applications.
- Knowledge of data modeling, schema design, and data product thinking.
- Familiarity with orchestration tools, CI/CD, infrastructure as code, and observability practices.
- Experience operating in enterprise or regulated environments.
What Success Looks Like
Success in this role means
- data pipelines are reliable, scalable, and maintainable
- data products are high-quality and trusted by downstream users
- data is delivered in a way that supports analytics, applications, and AI/agentic systems
- operational issues are quickly detected and resolved
- the data engineering layer enables faster delivery of new use cases
- enterprise context becomes more reusable, governed, and accessible
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 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.
Required Skills
Amazon Web Services (AWS), Business Intelligence (BI), Cloud Technology, Construction Design, Context Mapping, Database Administration, Data Engineering, Data Management, Data Modeling, Data Pipelines, Data Quality Control, Data Visualization, Design Applications, Engineering Software, Enterprise Data, Information Management, Infrastructure As Code (IaC), Ontology, Prompt Engineering, Software Development, Software Development Life Cycle (SDLC), System Designs
Preferred Skills
Current Employees apply HERE
Current Contingent Workers apply HERE
Secondary Language(s) Job Description
#MSDHYDIT
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
Not Applicable
Shift
Valid Driving License
Hazardous Material(s)
Job Posting End Date
08/28/2026
- 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.
Requisition ID R400883
Click on Apply to know more.
