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Hyderabad · Hybrid · 10-13 Yrs · 2 days ago
Biotech & Pharmaceuticals · 10000+ Employees · Rahway, US
For 130 years, MSD has been inventing for life, bringing forward medicines and vaccines for many of the world's most challenging diseases in pursuit of our mission to save and improve lives. MSD is a trade name of Merck & Co., Inc., with headquarters in Kenilworth, N.J., U.S.A. We demonstrate our commitment to patients and population health by increasing access to health care through far-reaching policies, programs and partnerships. Today, we continue to be at the forefront of research to prevent and treat diseases that threaten people and animals — including cancer, infectious diseases such as HIV and Ebola, and emerging animal diseases — as we aspire to be the premier research-intensive biopharmaceutical company in the world. We hire the most brilliant minds because inventing for life depends on our work. Here, you'll find rewarding opportunities, diverse experiences, and an unwavering commitment to ethics and integrity. You'll collaborate with talented colleagues who share your sense of purpose. Our company will empower you to innovate, explore, and develop your full potential in our possibility-rich environment. Our team is constantly evolving, so if you are among the intellectually curious, join us—and start making your impact today.
Hiring: Engineering
What employees say
+ Learning is endless Good Work Life Balance
− Pay scale varies for the same role
More reviews on the company profile.
Interview experience · Product Specialist
Utterly disrespectful, sarcastic, and toxic panel interview In my many years of professional career, I have never experienced an interview as horrendous and genuinely torturous as this one. It was not a professional eva
Very_difficult difficulty · Bengaluru · 42 reports
More interview insightsJob description
Overview
What will you do in this role: • Partner with colleagues in scientific data product line and stakeholders to understand the data priorities in support of research outcomes • Partner with engineering teams in scientific data product line to understand and influence architectural choices and talent needs • Define/Influence engineering squad configuration in collaboration with pr
Responsibilities
- Partner with colleagues in scientific data product line and stakeholders to understand the data priorities in support of research outcomes
- Partner with engineering teams in scientific data product line to understand and influence architectural choices and talent needs
- Define/Influence engineering squad configuration in collaboration with product manager and product tech lead to support roadmap objectives for products in Scientific Data Product Line
- Provide leadership to engineering squads in Hyderabad Tech Center (HTC) to design/engineer and implement data product features in support of research
- Define and implement data engineering strategies that align with organizational goals and data governance standards.
- Connect with external partners and thought leaders to stay current on the latest technologies and trends in Data Engineering.
- Evaluate and introduce new technologies, tools, and frameworks that enhance productivity and data quality.
- Conduct regular 1:1s, performance reviews, career development planning, and succession planning.
- In collaboration with Scientific Data product Line leader and product line technical leader, understand current and future engineering talent needs
- Drive recruitment, onboarding, and retention of top data engineering talent.
- Develop and execute a learning roadmap for the engineering team in Tech Center (training, certifications, communities of practice, internal tech talks).
- Foster a culture of learning, innovation, psychological safety, and knowledge sharing.
- Understand the purpose of our company and role of research and research IT in support of this purpose
- Be an ambassador to help the team and broader HTC community understand and internalize this purpose
- Work with other engineering leaders in HTC to develop and participate in a community to learn engineering practices from each other
- Leverage enterprise engineering tools and processes and be an advocate for them in the team and beyond. Actively provide feedback to enterprise teams to evolve these tools and processes in support of research engineering needs
Nice to have
- 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.
Education
- Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, Mathematics, or related field; or equivalent experience.
- Typically, 10+ years of experience in data engineering or related roles, with 5+ years in a leadership, lead engineer, or chapter/people lead capacity.
- Proven track record building and maintaining large‑scale data platforms and pipelines in complex enterprise environments.
- Strong hands-on experience with modern data engineering technologies, such as:
- Programming: Python, Java, SQL
- Data processing: Spark, Databricks, dBt, Matillion
- Data warehousing / Lakehouse: Delta Lake, Redshift, Neptune
- Cloud platforms: AWS (preferred)/ Azure
- Streaming: Kafka, Kinesis, Pub/Sub, Event Hubs, etc.
- Solid understanding of:
- ETL/ELT concepts
- Data quality, metadata management, and observability
- CI/CD, Infrastructure as Code, and containerization (e.g., GitHub/GitLab CI, Jenkins, Terraform, Docker, Kubernetes)
- Security, privacy, and compliance concepts (e.g., RBAC, encryption, PII handling).
- Demonstrated ability to lead and grow technical teams and communities in a product team environment.
- Strong coaching and mentoring skills; able to develop both technical and behavioral capabilities.
- Strategic mindset with the ability to balance long-term architecture with short-term delivery needs.
- Excellent communication and influencing skills, with experience of engaging senior stakeholders.
- Comfortable working in agile environments (Scrum/Kanban) and applying product centric ways of working.
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Job application FAQ
Last updated 27 October 2026
- How do I apply for Dir , Data Engineering at MSD?
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- Is Dir , Data Engineering remote or on-site in Hyderabad, Telangana?
- This listing is marked hybrid with location Hyderabad, Telangana. Confirm details on the job description before applying.
- What skills matter for this Dir , Data Engineering role at MSD?
- Key skills for this role include Hybrid. Upload a resume to see which requirements you already meet and which are gaps.