Data Engineer
Amgen
Data Engineer
Job Description
At Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission—to serve patients living with serious illnesses—drives all that we do.
What you will do
- Design, develop, and deploy data pipeline for clinical domain dataset
- Continuously develop and support Data Scientist R-Platform and integration with various technology (Kubernetes Container, HashiCorp Vault, SAS Storage, and Data Science Work Bench)
- Design and build various reusable program components using innovative technology (NLP, AI, Python, R, etc) to transform and harmonize clinical dataset for insight generation
- Collaborate with Data Architects, Business SME’s, and Data Scientists to capture the business requirement and translate into Agile product backlog
- Serve as primary data engineer to manage and support AWS, Databricks, RStudio platform, and cloud AI based system production DevOps
- Align to best practices for coding, testing, and designing reusable code/component
- Explore new tools and technologies that will help streamline data pipeline and add new durable capability for clinical development
- Participate in sprint planning meetings and provide estimations on technical implementation
- Collaborate and communicate effectively with the product teams
What we expect of you
- Master's degree / Bachelor's degree and 5 to 9 years [Job Code’s Discipline and/or Sub-Discipline]
- Work experience in the biotechnology or pharmaceutical industry (Good to Have)
- Experience using and adopting Scaled Agile Framework (SAFe) (Good to Have)
- Ability to work effectively in a fast-paced, dynamic environment (Good to Have)
- Experience with data modeling for both relationship databases, hands-on experience with SQL (PostgreSQL and Hive SQL is preferred) (Good to Have)
- Experience with UI Visualization technology (Dash, RSConnect, Tableau preferred) (Good to Have)
- Knowledge and experience in clinical trial design and development process and technology landscape, familiar with clinical trial data standards and structures (Good to Have)
- SAFe for Teams certification (preferred)
Must-Have Skills
- Advanced skills in SQL, Python, and R languages programing
- AWS cloud technology and databricks data lake technology stacks
- Proficient skills and knowledge on common AI/Machine Learning technologies
- Data modeling skills, and software development lifecycle knowledge and standard processes
- Learning ability of new technology in the information field
- Skill of using DevOps CI/CD tools, such Git, Jenkins and front UI Visualization technology
- Strong communications skills in writing, speaking, presenting and time management skills
- Strong transformation and change management experience
- Exceptional collaboration and communication skills
- High degree of initiative and self-motivation
- Ability to manage multiple priorities successfully
- Team-oriented with a focus on achieving team goals
- Strong presentation and public speaking skills
What you can expect of us
- Competitive benefits
- Collaborative culture
- Competitive and comprehensive Total Rewards Plans that are aligned with local industry standards
Locations
- Hyderabad, India
Salary
Salary not disclosed
Estimated Salary Rangehigh confidence
30,000 - 50,000 USD / yearly
Source: xAI estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Advanced skills in SQL, Python, and R languages programingintermediate
- AWS cloud technology and databricks data lake technology stacksintermediate
- Proficient skills and knowledge on common AI/Machine Learning technologiesintermediate
- Data modeling skills, and software development lifecycle knowledge and standard processesintermediate
- Learning ability of new technology in the information fieldintermediate
- Skill of using DevOps CI/CD tools, such Git, Jenkins and front UI Visualization technologyintermediate
- Strong communications skills in writing, speaking, presenting and time management skillsintermediate
- Strong transformation and change management experienceintermediate
- Exceptional collaboration and communication skillsintermediate
- High degree of initiative and self-motivationintermediate
- Ability to manage multiple priorities successfullyintermediate
- Team-oriented with a focus on achieving team goalsintermediate
- Strong presentation and public speaking skillsintermediate
Required Qualifications
- Master's degree / Bachelor's degree and 5 to 9 years [Job Code’s Discipline and/or Sub-Discipline] (experience)
- Work experience in the biotechnology or pharmaceutical industry (Good to Have) (experience)
- Experience using and adopting Scaled Agile Framework (SAFe) (Good to Have) (experience)
- Ability to work effectively in a fast-paced, dynamic environment (Good to Have) (experience)
- Experience with data modeling for both relationship databases, hands-on experience with SQL (PostgreSQL and Hive SQL is preferred) (Good to Have) (experience)
- Experience with UI Visualization technology (Dash, RSConnect, Tableau preferred) (Good to Have) (experience)
- Knowledge and experience in clinical trial design and development process and technology landscape, familiar with clinical trial data standards and structures (Good to Have) (experience)
- SAFe for Teams certification (preferred) (experience)
Responsibilities
- Design, develop, and deploy data pipeline for clinical domain dataset
- Continuously develop and support Data Scientist R-Platform and integration with various technology (Kubernetes Container, HashiCorp Vault, SAS Storage, and Data Science Work Bench)
- Design and build various reusable program components using innovative technology (NLP, AI, Python, R, etc) to transform and harmonize clinical dataset for insight generation
- Collaborate with Data Architects, Business SME’s, and Data Scientists to capture the business requirement and translate into Agile product backlog
- Serve as primary data engineer to manage and support AWS, Databricks, RStudio platform, and cloud AI based system production DevOps
- Align to best practices for coding, testing, and designing reusable code/component
- Explore new tools and technologies that will help streamline data pipeline and add new durable capability for clinical development
- Participate in sprint planning meetings and provide estimations on technical implementation
- Collaborate and communicate effectively with the product teams
Benefits
- general: Competitive benefits
- general: Collaborative culture
- general: Competitive and comprehensive Total Rewards Plans that are aligned with local industry standards
Tags & Categories
Data Engineer
Amgen
Data Engineer
Job Description
At Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission—to serve patients living with serious illnesses—drives all that we do.
What you will do
- Design, develop, and deploy data pipeline for clinical domain dataset
- Continuously develop and support Data Scientist R-Platform and integration with various technology (Kubernetes Container, HashiCorp Vault, SAS Storage, and Data Science Work Bench)
- Design and build various reusable program components using innovative technology (NLP, AI, Python, R, etc) to transform and harmonize clinical dataset for insight generation
- Collaborate with Data Architects, Business SME’s, and Data Scientists to capture the business requirement and translate into Agile product backlog
- Serve as primary data engineer to manage and support AWS, Databricks, RStudio platform, and cloud AI based system production DevOps
- Align to best practices for coding, testing, and designing reusable code/component
- Explore new tools and technologies that will help streamline data pipeline and add new durable capability for clinical development
- Participate in sprint planning meetings and provide estimations on technical implementation
- Collaborate and communicate effectively with the product teams
What we expect of you
- Master's degree / Bachelor's degree and 5 to 9 years [Job Code’s Discipline and/or Sub-Discipline]
- Work experience in the biotechnology or pharmaceutical industry (Good to Have)
- Experience using and adopting Scaled Agile Framework (SAFe) (Good to Have)
- Ability to work effectively in a fast-paced, dynamic environment (Good to Have)
- Experience with data modeling for both relationship databases, hands-on experience with SQL (PostgreSQL and Hive SQL is preferred) (Good to Have)
- Experience with UI Visualization technology (Dash, RSConnect, Tableau preferred) (Good to Have)
- Knowledge and experience in clinical trial design and development process and technology landscape, familiar with clinical trial data standards and structures (Good to Have)
- SAFe for Teams certification (preferred)
Must-Have Skills
- Advanced skills in SQL, Python, and R languages programing
- AWS cloud technology and databricks data lake technology stacks
- Proficient skills and knowledge on common AI/Machine Learning technologies
- Data modeling skills, and software development lifecycle knowledge and standard processes
- Learning ability of new technology in the information field
- Skill of using DevOps CI/CD tools, such Git, Jenkins and front UI Visualization technology
- Strong communications skills in writing, speaking, presenting and time management skills
- Strong transformation and change management experience
- Exceptional collaboration and communication skills
- High degree of initiative and self-motivation
- Ability to manage multiple priorities successfully
- Team-oriented with a focus on achieving team goals
- Strong presentation and public speaking skills
What you can expect of us
- Competitive benefits
- Collaborative culture
- Competitive and comprehensive Total Rewards Plans that are aligned with local industry standards
Locations
- Hyderabad, India
Salary
Salary not disclosed
Estimated Salary Rangehigh confidence
30,000 - 50,000 USD / yearly
Source: xAI estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Advanced skills in SQL, Python, and R languages programingintermediate
- AWS cloud technology and databricks data lake technology stacksintermediate
- Proficient skills and knowledge on common AI/Machine Learning technologiesintermediate
- Data modeling skills, and software development lifecycle knowledge and standard processesintermediate
- Learning ability of new technology in the information fieldintermediate
- Skill of using DevOps CI/CD tools, such Git, Jenkins and front UI Visualization technologyintermediate
- Strong communications skills in writing, speaking, presenting and time management skillsintermediate
- Strong transformation and change management experienceintermediate
- Exceptional collaboration and communication skillsintermediate
- High degree of initiative and self-motivationintermediate
- Ability to manage multiple priorities successfullyintermediate
- Team-oriented with a focus on achieving team goalsintermediate
- Strong presentation and public speaking skillsintermediate
Required Qualifications
- Master's degree / Bachelor's degree and 5 to 9 years [Job Code’s Discipline and/or Sub-Discipline] (experience)
- Work experience in the biotechnology or pharmaceutical industry (Good to Have) (experience)
- Experience using and adopting Scaled Agile Framework (SAFe) (Good to Have) (experience)
- Ability to work effectively in a fast-paced, dynamic environment (Good to Have) (experience)
- Experience with data modeling for both relationship databases, hands-on experience with SQL (PostgreSQL and Hive SQL is preferred) (Good to Have) (experience)
- Experience with UI Visualization technology (Dash, RSConnect, Tableau preferred) (Good to Have) (experience)
- Knowledge and experience in clinical trial design and development process and technology landscape, familiar with clinical trial data standards and structures (Good to Have) (experience)
- SAFe for Teams certification (preferred) (experience)
Responsibilities
- Design, develop, and deploy data pipeline for clinical domain dataset
- Continuously develop and support Data Scientist R-Platform and integration with various technology (Kubernetes Container, HashiCorp Vault, SAS Storage, and Data Science Work Bench)
- Design and build various reusable program components using innovative technology (NLP, AI, Python, R, etc) to transform and harmonize clinical dataset for insight generation
- Collaborate with Data Architects, Business SME’s, and Data Scientists to capture the business requirement and translate into Agile product backlog
- Serve as primary data engineer to manage and support AWS, Databricks, RStudio platform, and cloud AI based system production DevOps
- Align to best practices for coding, testing, and designing reusable code/component
- Explore new tools and technologies that will help streamline data pipeline and add new durable capability for clinical development
- Participate in sprint planning meetings and provide estimations on technical implementation
- Collaborate and communicate effectively with the product teams
Benefits
- general: Competitive benefits
- general: Collaborative culture
- general: Competitive and comprehensive Total Rewards Plans that are aligned with local industry standards
Tags & Categories