
Manager, Data Engineer
- Hyderabad, Telangana
- Permanent
- Full-time
- 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.
- Design, implement, and maintain complex data engineering solutions to acquire and prepare data. Create and maintain data pipelines to connect data within and between data stores, applications, and organizations.
- Support and monitor the implementation of information, record management policies, standard practice, effective control for internal delegation, audit, and control relating to information and records management.
- Identify issues related to software development activities and propose practical solutions to resolve issues.
- Establish, modify, maintain, and communicate the details of the data structures and associated components to others using the data structures, standard data modeling, and design techniques.
- Prepare design options for the working environment of methods, procedures, techniques, tools, and people. Select systems and software life cycle (SDLC) working practices for software components and micro-services.
- Create and document detailed designs for simple data applications and components. Contribute to the design of components of larger data systems.
- Establish, modify and maintain data structures, data pipelines and associated components.
- Work within a matrix organizational structure, reporting to both the functional manager and the project manager.
- Participate in project planning, execution, and delivery, ensuring alignment with both functional and project goals.
- Bachelors’ degree in Information Technology, Computer Science or any Technology stream.
- 3+ years of developing data pipelines & data infrastructure, ideally within a drug development or life sciences context.
- Proficiency in capabilities in likes of Data Ingestion, Data Curation, Data Virtualization, Data Sharing, Data Orchestration and Data Observability.
- Strong working knowledge of distributed storage, processing and distributed compute.
- Demonstrated expertise in delivering large-scale information management technology solutions encompassing data integration and self-service analytics enablement.
- Experienced in software/data engineering practices (including versioning, release management, deployment of datasets, agile & related software tools).
- Strong working knowledge of at least one large-scale data processing technology (e.g., High-performance computing, distributed computing), databases, and underlying technology (cloud or on-prem environments, containerization, distributed storage & databases)
- Cloud-native, ideally AWS certified.
- Good interpersonal and communication skills (verbal and written).
- Proven record of delivering high-quality results.
- Product and customer-centric approach.
- Innovative thinking, experimental mindset.
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: RegularRelocation:VISA Sponsorship:Travel Requirements:Flexible Work Arrangements: HybridShift:Valid Driving License:Hazardous Material(s):Required Skills: Business Intelligence (BI), Database Administration, Data Engineering, Data Management, Data Modeling, Data Visualization, Design Applications, Information Management, Software Development, Software Development Life Cycle (SDLC), System DesignsPreferred Skills:Job Posting End Date: 10/2/2025*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.