Data Engineer - R&D Precision Medicine
Amgen
Data Engineer - R&D Precision Medicine
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 and build scalable enterprise analytics solutions using Databricks, Power BI, and other modern data tools
- Leverage data virtualization, ETL, and semantic layers to balance need for unification, performance, and data transformation with goal to reduce data proliferation
- Break down features into work that aligns with the architectural direction runway
- Participate hands-on in pilots and proofs-of-concept for new patterns
- Create robust documentation from data analysis and profiling, and proposed designs and data logic
- Develop advanced sql queries to profile, and unify data
- Develop data processing code in sql, along with semantic views to prepare data for reporting
- Develop PowerBI Models and reporting packages
- Design robust data models, and processing layers, that support both analytical processing and operational reporting needs
- Design and develop solutions based on best practices for data governance, security, and compliance within Databricks and Power BI environments
- Ensure the integration of data systems with other enterprise applications, creating seamless data flows across platforms
- Develop and maintain Power BI solutions, ensuring data models and reports are optimized for performance and scalability
- Collaborate with key customers to define data requirements, functional specifications, and project goals
- Continuously evaluate and adopt new technologies and methodologies to enhance the architecture and performance of data solutions
What we expect of you
- Master’s degree and 1 to 3 years of Data Engineering experience OR
- Bachelor’s degree and 3 to 5 years of Data Engineering experience OR
- Diploma and 7 to 9 years of Data Engineering experience
Must-Have Skills
- Minimum of 3 years of hands-on experience with BI solutions (Preferable Power BI or Business Objects) including report development, dashboard creation, and optimization
- Minimum of 3 years of hands-on experience building Change-data-capture (CDC) ETL pipelines, data warehouse design and build, and enterprise-level data management
- Hands-on experience with Databricks, including data engineering, optimization, and analytics workloads
- Deep understanding of Power BI, including model design, DAX, and Power Query
- Proven experience designing and implementing data mastering solutions and data governance frameworks
- Expertise in cloud platforms (AWS), data lakes, and data warehouses
- Strong knowledge of ETL processes, data pipelines, and integration technologies
- Ability to assess business needs and design solutions that align with organizational goals
- Exceptional hands-on capabilities with data profiling, data transformation, data mastering
- Success in mentoring and training team members
- Experience in developing differentiated and deliverable solutions
- Experience with human data, ideally human healthcare data
- Familiarity with laboratory testing, patient data from clinical care, HL7, FHIR, and/or clinical trial data management
- ITIL Foundation or other relevant certifications (preferred)
- SAFe Agile Practitioner (6.0)
- Microsoft Certified: Data Analyst Associate (Power BI) or related certification
- Databricks Certified Professional or similar certification
- Excellent analytical and troubleshooting skills
- Deep intellectual curiosity
- The highest degree of initiative and self-motivation
- Strong verbal and written communication skills, including presentation to varied audiences of complex technical/business topics
- Confidence technical leader
- Ability to work effectively with global, remote teams, specifically including using of tools and artifacts to assure clear and efficient collaboration across time zones
- Ability to handle multiple priorities successfully
- Team-oriented, with a focus on achieving team goals
- Strong problem solving, analytical skills
- Ability to learn quickly and retain and synthesize complex information from diverse sources
Good-to-Have Skills
- Good communication and collaboration skills to work with cross-functional teams and senior leadership
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 (Remote)
Salary
Salary not disclosed
Estimated Salary Rangehigh confidence
30,000 - 60,000 USD / yearly
Source: xAI estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Minimum of 3 years of hands-on experience with BI solutions (Preferable Power BI or Business Objects) including report development, dashboard creation, and optimizationintermediate
- Minimum of 3 years of hands-on experience building Change-data-capture (CDC) ETL pipelines, data warehouse design and build, and enterprise-level data managementintermediate
- Hands-on experience with Databricks, including data engineering, optimization, and analytics workloadsintermediate
- Deep understanding of Power BI, including model design, DAX, and Power Queryintermediate
- Proven experience designing and implementing data mastering solutions and data governance frameworksintermediate
- Expertise in cloud platforms (AWS), data lakes, and data warehousesintermediate
- Strong knowledge of ETL processes, data pipelines, and integration technologiesintermediate
- Good communication and collaboration skills to work with cross-functional teams and senior leadershipintermediate
- Ability to assess business needs and design solutions that align with organizational goalsintermediate
- Exceptional hands-on capabilities with data profiling, data transformation, data masteringintermediate
- Success in mentoring and training team membersintermediate
- Experience in developing differentiated and deliverable solutionsintermediate
- Experience with human data, ideally human healthcare dataintermediate
- Familiarity with laboratory testing, patient data from clinical care, HL7, FHIR, and/or clinical trial data managementintermediate
- ITIL Foundation or other relevant certifications (preferred)intermediate
- SAFe Agile Practitioner (6.0)intermediate
- Microsoft Certified: Data Analyst Associate (Power BI) or related certificationintermediate
- Databricks Certified Professional or similar certificationintermediate
- Excellent analytical and troubleshooting skillsintermediate
- Deep intellectual curiosityintermediate
- The highest degree of initiative and self-motivationintermediate
- Strong verbal and written communication skills, including presentation to varied audiences of complex technical/business topicsintermediate
- Confidence technical leaderintermediate
- Ability to work effectively with global, remote teams, specifically including using of tools and artifacts to assure clear and efficient collaboration across time zonesintermediate
- Ability to handle multiple priorities successfullyintermediate
- Team-oriented, with a focus on achieving team goalsintermediate
- Strong problem solving, analytical skillsintermediate
- Ability to learn quickly and retain and synthesize complex information from diverse sourcesintermediate
Required Qualifications
- Master’s degree and 1 to 3 years of Data Engineering experience OR (experience)
- Bachelor’s degree and 3 to 5 years of Data Engineering experience OR (experience)
- Diploma and 7 to 9 years of Data Engineering experience (experience)
Responsibilities
- Design and build scalable enterprise analytics solutions using Databricks, Power BI, and other modern data tools
- Leverage data virtualization, ETL, and semantic layers to balance need for unification, performance, and data transformation with goal to reduce data proliferation
- Break down features into work that aligns with the architectural direction runway
- Participate hands-on in pilots and proofs-of-concept for new patterns
- Create robust documentation from data analysis and profiling, and proposed designs and data logic
- Develop advanced sql queries to profile, and unify data
- Develop data processing code in sql, along with semantic views to prepare data for reporting
- Develop PowerBI Models and reporting packages
- Design robust data models, and processing layers, that support both analytical processing and operational reporting needs
- Design and develop solutions based on best practices for data governance, security, and compliance within Databricks and Power BI environments
- Ensure the integration of data systems with other enterprise applications, creating seamless data flows across platforms
- Develop and maintain Power BI solutions, ensuring data models and reports are optimized for performance and scalability
- Collaborate with key customers to define data requirements, functional specifications, and project goals
- Continuously evaluate and adopt new technologies and methodologies to enhance the architecture and performance of data solutions
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 - R&D Precision Medicine
Amgen
Data Engineer - R&D Precision Medicine
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 and build scalable enterprise analytics solutions using Databricks, Power BI, and other modern data tools
- Leverage data virtualization, ETL, and semantic layers to balance need for unification, performance, and data transformation with goal to reduce data proliferation
- Break down features into work that aligns with the architectural direction runway
- Participate hands-on in pilots and proofs-of-concept for new patterns
- Create robust documentation from data analysis and profiling, and proposed designs and data logic
- Develop advanced sql queries to profile, and unify data
- Develop data processing code in sql, along with semantic views to prepare data for reporting
- Develop PowerBI Models and reporting packages
- Design robust data models, and processing layers, that support both analytical processing and operational reporting needs
- Design and develop solutions based on best practices for data governance, security, and compliance within Databricks and Power BI environments
- Ensure the integration of data systems with other enterprise applications, creating seamless data flows across platforms
- Develop and maintain Power BI solutions, ensuring data models and reports are optimized for performance and scalability
- Collaborate with key customers to define data requirements, functional specifications, and project goals
- Continuously evaluate and adopt new technologies and methodologies to enhance the architecture and performance of data solutions
What we expect of you
- Master’s degree and 1 to 3 years of Data Engineering experience OR
- Bachelor’s degree and 3 to 5 years of Data Engineering experience OR
- Diploma and 7 to 9 years of Data Engineering experience
Must-Have Skills
- Minimum of 3 years of hands-on experience with BI solutions (Preferable Power BI or Business Objects) including report development, dashboard creation, and optimization
- Minimum of 3 years of hands-on experience building Change-data-capture (CDC) ETL pipelines, data warehouse design and build, and enterprise-level data management
- Hands-on experience with Databricks, including data engineering, optimization, and analytics workloads
- Deep understanding of Power BI, including model design, DAX, and Power Query
- Proven experience designing and implementing data mastering solutions and data governance frameworks
- Expertise in cloud platforms (AWS), data lakes, and data warehouses
- Strong knowledge of ETL processes, data pipelines, and integration technologies
- Ability to assess business needs and design solutions that align with organizational goals
- Exceptional hands-on capabilities with data profiling, data transformation, data mastering
- Success in mentoring and training team members
- Experience in developing differentiated and deliverable solutions
- Experience with human data, ideally human healthcare data
- Familiarity with laboratory testing, patient data from clinical care, HL7, FHIR, and/or clinical trial data management
- ITIL Foundation or other relevant certifications (preferred)
- SAFe Agile Practitioner (6.0)
- Microsoft Certified: Data Analyst Associate (Power BI) or related certification
- Databricks Certified Professional or similar certification
- Excellent analytical and troubleshooting skills
- Deep intellectual curiosity
- The highest degree of initiative and self-motivation
- Strong verbal and written communication skills, including presentation to varied audiences of complex technical/business topics
- Confidence technical leader
- Ability to work effectively with global, remote teams, specifically including using of tools and artifacts to assure clear and efficient collaboration across time zones
- Ability to handle multiple priorities successfully
- Team-oriented, with a focus on achieving team goals
- Strong problem solving, analytical skills
- Ability to learn quickly and retain and synthesize complex information from diverse sources
Good-to-Have Skills
- Good communication and collaboration skills to work with cross-functional teams and senior leadership
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 (Remote)
Salary
Salary not disclosed
Estimated Salary Rangehigh confidence
30,000 - 60,000 USD / yearly
Source: xAI estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Minimum of 3 years of hands-on experience with BI solutions (Preferable Power BI or Business Objects) including report development, dashboard creation, and optimizationintermediate
- Minimum of 3 years of hands-on experience building Change-data-capture (CDC) ETL pipelines, data warehouse design and build, and enterprise-level data managementintermediate
- Hands-on experience with Databricks, including data engineering, optimization, and analytics workloadsintermediate
- Deep understanding of Power BI, including model design, DAX, and Power Queryintermediate
- Proven experience designing and implementing data mastering solutions and data governance frameworksintermediate
- Expertise in cloud platforms (AWS), data lakes, and data warehousesintermediate
- Strong knowledge of ETL processes, data pipelines, and integration technologiesintermediate
- Good communication and collaboration skills to work with cross-functional teams and senior leadershipintermediate
- Ability to assess business needs and design solutions that align with organizational goalsintermediate
- Exceptional hands-on capabilities with data profiling, data transformation, data masteringintermediate
- Success in mentoring and training team membersintermediate
- Experience in developing differentiated and deliverable solutionsintermediate
- Experience with human data, ideally human healthcare dataintermediate
- Familiarity with laboratory testing, patient data from clinical care, HL7, FHIR, and/or clinical trial data managementintermediate
- ITIL Foundation or other relevant certifications (preferred)intermediate
- SAFe Agile Practitioner (6.0)intermediate
- Microsoft Certified: Data Analyst Associate (Power BI) or related certificationintermediate
- Databricks Certified Professional or similar certificationintermediate
- Excellent analytical and troubleshooting skillsintermediate
- Deep intellectual curiosityintermediate
- The highest degree of initiative and self-motivationintermediate
- Strong verbal and written communication skills, including presentation to varied audiences of complex technical/business topicsintermediate
- Confidence technical leaderintermediate
- Ability to work effectively with global, remote teams, specifically including using of tools and artifacts to assure clear and efficient collaboration across time zonesintermediate
- Ability to handle multiple priorities successfullyintermediate
- Team-oriented, with a focus on achieving team goalsintermediate
- Strong problem solving, analytical skillsintermediate
- Ability to learn quickly and retain and synthesize complex information from diverse sourcesintermediate
Required Qualifications
- Master’s degree and 1 to 3 years of Data Engineering experience OR (experience)
- Bachelor’s degree and 3 to 5 years of Data Engineering experience OR (experience)
- Diploma and 7 to 9 years of Data Engineering experience (experience)
Responsibilities
- Design and build scalable enterprise analytics solutions using Databricks, Power BI, and other modern data tools
- Leverage data virtualization, ETL, and semantic layers to balance need for unification, performance, and data transformation with goal to reduce data proliferation
- Break down features into work that aligns with the architectural direction runway
- Participate hands-on in pilots and proofs-of-concept for new patterns
- Create robust documentation from data analysis and profiling, and proposed designs and data logic
- Develop advanced sql queries to profile, and unify data
- Develop data processing code in sql, along with semantic views to prepare data for reporting
- Develop PowerBI Models and reporting packages
- Design robust data models, and processing layers, that support both analytical processing and operational reporting needs
- Design and develop solutions based on best practices for data governance, security, and compliance within Databricks and Power BI environments
- Ensure the integration of data systems with other enterprise applications, creating seamless data flows across platforms
- Develop and maintain Power BI solutions, ensuring data models and reports are optimized for performance and scalability
- Collaborate with key customers to define data requirements, functional specifications, and project goals
- Continuously evaluate and adopt new technologies and methodologies to enhance the architecture and performance of data solutions
Benefits
- general: Competitive benefits
- general: Collaborative culture
- general: Competitive and comprehensive Total Rewards Plans that are aligned with local industry standards
Tags & Categories