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Merck

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4.3

based on 305 Reviews

Video summary

1 Merck Senior Data Engineer Job

Senior Data Engineer

Merck Ltd

4.3

based on 305 Reviews

8-13 years

Bangalore / Bengaluru

1 vacancy

Senior Data Engineer

Merck

posted 13hr ago

Job Role Insights

Flexible timing

Key skills for the job

Computer Science Data Analytics Python SQL Healthcare Agile Coaching

+ 3 more

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