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120 Merck Jobs
Senior Data Engineer
Merck
posted 19d ago
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Flexible timing
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Job Description
- Join us to contribute to the enterprise s priority of driving innovation through data & digital
- In R&D, the promise of bringing more medicines to more patients faster is closely linked with the ability to maximize the use of our data
- This will result in improved decision-making using data analytics & AI
- Well-structured, findable and easily accessible data is a core foundation, and we have therefore embarked on a mission to accelerate the provisioning of high-quality data
- As a Senior Data Engineer, your primary responsibility will be to implement high-quality, durable and efficient data flows
- You will collaborate closely with our product owners to optimize how we gather, structure and utilize data
- The data repositories, data flows and data-centric solutions you develop will support a wide range of reporting, analytics, decision support and (Generative) AI solutions
- You will leverage a Data & AI ecosystem built on modern AWS and Snowflake technologies and join a team of highly skilled experts
- Collaboration will be key, as you will work closely with the Data, Digital & IT team based at headquarters and developer teams located in Europe, US and India
- You will be the single point of accountability for the technical implementation of the data flows, repositories and data-centric solutions in your area, translating requirements into efficient implementations
- Who You Are:Bachelor s or master s degree in computer science, mathematics, or related fields
- At least 8 years of experience as a data warehouse expert, data engineer or data integration specialist
- Proven experience in implementing complex data models and data flows
- Familiarity with data & analytics solutions such as AWS (especially Glue, Lambda, DMS) and Snowflake
- Experience working with Azure Dev Ops and warehouse automation tools (egdbt, Coalesce) is a plus
- Strong proficiency in SQL, with additional knowledge of Python (ie
- pandas and PySpark) being advantageous
- A strong inclination to think about data flows end-to-end, from ingestion to data modeling and solution delivery
- Experience with Healthcare R&D is a plus
- Excellent English communication skills, with the ability to effectively engage both with R&D scientists and software engineers
- Experience working in virtual and agile teams
Employment Type: Full Time, Permanent
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