Detalhes da Vaga

The Amgen Capability Center in Lisbon, Portugal (ACCP) is home to over 300 multi-national and multi-cultural employees, representing a broad range of cross functional capabilities, including Commercial, General and Administrative, Research and Development and more. The ACCP offers rich career growth and development opportunities, regional and global exposure, and the opportunity to LIVE, WIN and THRIVE in one of Europe's most attractive cities. The ACCP has been ranked as the #1 company in Best Workplaces (https://www.greatplacetowork.pt/) ranking in Portugal for companies between 201-500 employees, by the Great Place to Work Institute.
Our ACCP Office is located at Maleo – Sete Rios, Av. José Malhoa 19, 1070-040 Lisbon, in the vibrant city center of Lisbon
LIVE
WHAT YOU WILL DO

As a Data Engineer at Amgen, you will be responsible for managing and optimizing the company's data infrastructure and architecture for Clinical Data Hub. You will design and implement data pipelines, develop data models, perform data integration, and ensure data quality and governance. Your expertise in data engineering, big data technologies, and data manipulation will contribute to the effective storage, processing, and utilization of large-scale data sets. In partnership with enterprise data platform teams, functional technology teams and data scientists, the Sr Data Engineer – Clinical Data Hub will be part of a team delivering key clinical trial data initiatives that are contributing to the advancement of a connected data vision, including the Enterprise Data Fabric (EDF). A connected data ecosystem is a key dependency to realize critical business strategies across Research and Development, such as AI/ML and precision medicine.
Key Responsibilities:
Collaboration and Planning : Work with Product Owner, Product Management, Agile Team, and Data Architects to plan and deliver prioritized Clinical Data Hub backlog items and optimize the technical environment.
Data Management : Ensure data requirements for applications, data scientists, and cross-functional use cases are met, and ensure high performance and reliability of the system.
Technical Implementation : Design, code, test, and review data pipelines to standards and best practices for clinical data solutions.
Lifecycle Support and Maintenance : Maintain, patch, and upgrade data pipeline solutions to maintain security and regulatory compliance, performance standards, and platform best practices.
WIN
WHAT WE EXPECT OF YOU
Basic Qualifications:
Master's degree in computer science or closely related degree program
OR
Bachelor's degree and 2 years of data engineering experience
OR
Associate's degree and 6 years of data engineering experience
OR
High school diploma / GED and 8 years of data engineering experience
Preferred Qualifications:
2+ years of development experience with Databricks, including cluster setup, execution, and tuning
2+ years of experience building ETL or ELT pipelines; Hands-on experience with SQL
Experience with one or more programming languages, Python, R, SAS, Scala, or Java.
Experience with Software engineering best-practices, including but not limited to version control, infrastructure-as-code, CI/CD, and automated testing
Experience in clinical trial design and analysis
Experience in clinical Data Lake and Data Fabric space
Experience with data modeling, performance tuning, and experience on relational and graph databases.
Experience with AWS services: EC2, S3, EMR, RDS, Redshift/Spectrum, Lambda, Glue, Athena, API gateway, and design patterns (Containers, Serverless, Kubernetes, Docker, etc.)
THRIVE
WHAT YOU CAN EXPECT OF US
Vast opportunities to learn, develop, and move up and across our global organization.
Diverse and inclusive community of belonging, where colleagues are empowered to bring ideas to the table, take risks, and act.
Generous Amgen Total Rewards Plan comprising healthcare, finance, wealth and career benefits.
APPLY NOW
In our quest to serve patients above all else, Amgen is the first to imagine, and the last to doubt. Join us.
careers.amgen.com
EQUAL OPPORTUNITY STATEMENT
Amgen is an Equal Opportunity employer and will consider you without regard to your race, colour, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.
We will ensure that individuals with disabilities are provided a reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.
. Career Category Information Systems Job Description Data Engineer

The Amgen Capability Center in Lisbon, Portugal (ACCP) is home to over 300 multi-national and multi-cultural employees, representing a broad range of cross functional capabilities, including Commercial, General and Administrative, Research and Development and more. The ACCP offers rich career growth and development opportunities, regional and global exposure, and the opportunity to LIVE, WIN and THRIVE in one of Europe's most attractive cities. The ACCP has been ranked as the #1 company in Best Workplaces (https://www.greatplacetowork.pt/) ranking in Portugal for companies between 201-500 employees, by the Great Place to Work Institute.
Our ACCP Office is located at Maleo – Sete Rios, Av. José Malhoa 19, 1070-040 Lisbon, in the vibrant city center of Lisbon
LIVE
WHAT YOU WILL DO

As a Data Engineer at Amgen, you will be responsible for managing and optimizing the company's data infrastructure and architecture for Clinical Data Hub. You will design and implement data pipelines, develop data models, perform data integration, and ensure data quality and governance. Your expertise in data engineering, big data technologies, and data manipulation will contribute to the effective storage, processing, and utilization of large-scale data sets. In partnership with enterprise data platform teams, functional technology teams and data scientists, the Sr Data Engineer – Clinical Data Hub will be part of a team delivering key clinical trial data initiatives that are contributing to the advancement of a connected data vision, including the Enterprise Data Fabric (EDF). A connected data ecosystem is a key dependency to realize critical business strategies across Research and Development, such as AI/ML and precision medicine.
Key Responsibilities:
Collaboration and Planning : Work with Product Owner, Product Management, Agile Team, and Data Architects to plan and deliver prioritized Clinical Data Hub backlog items and optimize the technical environment.

Data Management : Ensure data requirements for applications, data scientists, and cross-functional use cases are met, and ensure high performance and reliability of the system.

Technical Implementation : Design, code, test, and review data pipelines to standards and best practices for clinical data solutions.

Lifecycle Support and Maintenance : Maintain, patch, and upgrade data pipeline solutions to maintain security and regulatory compliance, performance standards, and platform best practices.

WIN
WHAT WE EXPECT OF YOU
Basic Qualifications:
Master's degree in computer science or closely related degree program
OR
Bachelor's degree and 2 years of data engineering experience
OR
Associate's degree and 6 years of data engineering experience
OR
High school diploma / GED and 8 years of data engineering experience
Preferred Qualifications:
2+ years of development experience with Databricks, including cluster setup, execution, and tuning

2+ years of experience building ETL or ELT pipelines; Hands-on experience with SQL

Experience with one or more programming languages, Python, R, SAS, Scala, or Java.

Experience with Software engineering best-practices, including but not limited to version control, infrastructure-as-code, CI/CD, and automated testing

Experience in clinical trial design and analysis

Experience in clinical Data Lake and Data Fabric space

Experience with data modeling, performance tuning, and experience on relational and graph databases.

Experience with AWS services: EC2, S3, EMR, RDS, Redshift/Spectrum, Lambda, Glue, Athena, API gateway, and design patterns (Containers, Serverless, Kubernetes, Docker, etc.)

THRIVE
WHAT YOU CAN EXPECT OF US
Vast opportunities to learn, develop, and move up and across our global organization.

Diverse and inclusive community of belonging, where colleagues are empowered to bring ideas to the table, take risks, and act.

Generous Amgen Total Rewards Plan comprising healthcare, finance, wealth and career benefits.

Flexible work arrangements.

APPLY NOW
In our quest to serve patients above all else, Amgen is the first to imagine, and the last to doubt. Join us.
careers.amgen.com
EQUAL OPPORTUNITY STATEMENT
Amgen is an Equal Opportunity employer and will consider you without regard to your race, colour, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.
We will ensure that individuals with disabilities are provided a reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.
.
About Us Amgen is committed to unlocking the potential of biology for patients suffering from serious illnesses by discovering, developing, manufacturing and delivering innovative human therapeutics. This approach begins by using tools like advanced human genetics to unravel the complexities of disease and understand the fundamentals of human biology.
Amgen focuses on areas of high unmet medical need and leverages its biologics manufacturing expertise to strive for solutions that improve health outcomes and dramatically improve people's lives. A biotechnology pioneer since 1980, Amgen has grown to be one of the world's leading independent biotechnology companies, has reached millions of patients around the world and is developing a pipeline of medicines with breakaway potential.

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Salário Nominal: A acordar

Fonte: Allthetopbananas_Ppc

Função de trabalho:

Requisitos

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