Premium Employer
i
This company page is being actively managed by
Amgen Team. If you also belong to the team, you
can get access from
here
Amgen
Compare
All Filters
411 Amgen Jobs
Data Engineer
Amgen
posted 13d ago
Job Role Insights
Flexible timing
Key skills for the job
Job Description
ABOUT THE ROLE
You will play a key role in a regulatory submission content automation initiative which will modernize and digitize the regulatory submission process, positioning Amgen as a leader in regulatory innovation. The initiative leverages state-of-the-art technologies, including Generative AI, Structured Content Management, and integrated data to automate the creation, review, and approval of regulatory content.? The role is responsible for sourcing and analyzing data for this initiative and support designing, building, and maintaining the data pipelines to drive business actions and automation . This role involves working with Operations source systems, find the right data sources, standardize data sets, supporting data governance to ensure data is accessible, reliable, and efficiently managed. The ideal candidate has strong technical skills, experience with big data technologies, and a deep understanding of data architecture and ETL processes Roles & Responsibilities: Ensure reliable , secure and compliant operating environment. Identify , extract, and integrate required business data from Operations systems residing in modern cloud-based architectures. Design, develop, test and maintain scalable data pipelines, ensuring data quality via ETL/ELT processes. Schedul e and manag e workflows the ensure pipeline s run on schedule and are monitored for failures. Implement data integration solutions and manage end-to-end pipeline projects, including scope, timelines, and risk. Reverse-engineer schemas and explore source system tables to map local representations of target business concepts. Navigate application UIs and backends to gain business domain knowledge and detect data inconsistencies. Break down information models into fine-grained, business-contextualized data components. Work closely with cross-functional teams, including product teams, data architects, and business SMEs, to understand requirements and design solutions. Collaborate with data scientists to develop pipelines that meet dynamic business needs across regions. Create and maintain data models, dictionaries, and documentation to ensure accuracy and consistency. Adhere to SOPs, GDEs , and best practices for coding, testing, and reusable component design. Basic Qualifications and Experience: Masters degree and 1 to 3 years of Computer Science, IT or related field experience OR Bachelors degree and 3 to 5 years of Computer Science, IT or related field experience OR Diploma and 7 to 9 years of Computer Science, IT or related field experience Functional Skills:
Must-Have Skills:Hands on experience with data practices, technologies , and platforms , such as Databricks, Python, Prophecy, Gitlab, LucidChart etc Proficiency in data analysis tools ( eg. SQL) and experience with data sourcing tools Excellent problem-solving skills and the ability to work with large, complex datasets U nderstanding of data governance frameworks, tools, and best practices. Knowledge of and experience with data standards (FAIR) and protection regulations and compliance requirements (e.g., GDPR, CCPA) Good-to-Have Skills: Experience with ETL tools and various Python packages related to data processing, machine learning model development Strong understanding of data modeling, data warehousing, and data integration concepts Knowledge of Python /R , Databricks, cloud data platforms Professional Certifications Certified Data Engineer / Data Analyst (preferred on Databricks ) Soft Skills: Excellent critical-thinking and problem-solving skills Strong communication and collaboration skills Demonstrated awareness of how to function in a team setting Demonstrated presentation skills
You will play a key role in a regulatory submission content automation initiative which will modernize and digitize the regulatory submission process, positioning Amgen as a leader in regulatory innovation. The initiative leverages state-of-the-art technologies, including Generative AI, Structured Content Management, and integrated data to automate the creation, review, and approval of regulatory content.
Must-Have Skills:
Employment Type: Full Time, Permanent
Read full job descriptionPrepare for Data Engineer roles with real interview advice
People are getting interviews at Amgen through
People are getting interviews through
(based on 2 Amgen interviews)
Company Website
Job Portal
50%
50%
Low
Confidence
?
Low Confidence means the data is based on a small number of responses received from the candidates.
What people at Amgen are saying
Data Engineer salary at Amgen
reported by
2
employees
₹63.2
L/yr - ₹69.8
L/yr
541%
more
than the average Data Engineer Salary in India
View more details
What Amgen employees are saying about work life
based on 5 employees
Flexible timing
Monday to Friday
International travel
Day Shift
Amgen Benefits
Submitted by Company
Health Insurance Child care Education Assistance Employee volunteer program and company matching donation program Flexible work environment Competitive base pay and annual bonus opportunities
Submitted by Employees
View more benefits 
Compare Amgen with
Biocon Limited
Compare
DRJ & CO
Compare
Sun Pharmaceutical Industries
Compare
Cipla
Compare
Glenmark Pharmaceuticals
Compare
Torrent Pharmaceuticals
Compare
Zydus Lifesciences
Compare
Lupin
Compare
Aurobindo Pharma
Compare
DIVI'S Laboratories
Compare
Avantor
Compare
Kemin Industries
Compare
Biomerieux
Compare
Flagship Biotech International
Compare
Zenotech Laboratories
Compare
PREMAS Biotech
Compare
Datar Genetics
Compare
Sisco Research Laboratories
Compare
BiOZEEN
Compare
StemCyte India Therapeutics
Compare
Similar Jobs for you
Compensation Cycle, Benchmark and Process Improvement Manager
4-9 Yrs
Hyderabad / Secunderabad
Senior Manager, ServiceNow Platform Operations
10-14 Yrs
Hyderabad / Secunderabad
Share an Interview