Job Description

Job Title : Senior Specialist, Data Engineering

Based in Singapore, 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.

What will you do in this role:

• Design, develop, and maintain data pipelines to extract data from various sources and populate a data lake and data warehouse.
• Work closely with data scientists, analysts, and business teams to understand data requirements and deliver solutions aligned with business goals.
• Build and maintain platforms that support data ingestion, transformation, and orchestration across various data sources, both internal and external.
• Use data orchestration, logging, and monitoring tools to build resilient pipelines.
• Automate data flows and pipeline monitoring to ensure scalability, performance, and resilience of the platform.
• Monitor, troubleshoot, and resolve issues related to the data integration platform, ensuring uptime and reliability.
• Maintain thorough documentation for integration processes, configurations, and code to ensure easy onboarding for new team members and future scalability.
• Develop pipelines to ingest data into cloud data warehouses.
• Establish, modify and maintain data structures and associated components.
• Create and deliver standard reports in accordance with stakeholder needs and conforming to agreed standards.
• 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.

What should you have :

• Bachelors’ degree in Information Technology, Computer Science or any Technology stream.
• 10+ years of developing data pipelines & data infrastructure, ideally within a drug development or life sciences context.
• 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).
• Ability to design, build and unit test applications on Spark framework on Python.
• Build PySpark based applications for both batch and streaming requirements, which will require in-depth knowledge on Databricks/ Hadoop.
• Experience working with storage frameworks like Delta Lake/ Iceberg
• Experience working with MPP Datawarehouse’s like Redshift
• Cloud-native, ideally AWS certified.
• Strong working knowledge of at least one Reporting/Insight generation technology
• Good interpersonal and communication skills (verbal and written).
• Proven record of delivering high-quality results.
• Product and customer-centric approach.
• Innovative thinking, experimental mindset.

Current Employees apply HERE

Current Contingent Workers apply HERE

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):

Required Skills:

Amazon Web Services (AWS), Amazon Web Services (AWS), Biological Sciences, Business, Business Intelligence (BI), Client-Centric, Computer Science, Database Administration, Data Engineering, Data Infrastructure, Data Integration, Data Management, Data Modeling, Data Pipelines, Data Visualization, Data Warehouse Development, Design Applications, Drug Development, Information Management, Life Science, Organizational Structures, Project Management, Social Collaboration, Software Development, Software Development Life Cycle (SDLC) {+ 1 more}

Preferred Skills:

Job Posting End Date:

09/8/2025

*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.