Data Visualization Engineer
Amgen
Data Visualization Engineer
Job Description
Join Amgen’s Mission of Serving Patients
What you will do
- Design, develop, and maintain data solutions for data generation, collection, and processing
- Be a key team member that assists in design and development of the data pipeline
- Create data pipelines and ensure data quality by implementing ETL processes to migrate and deploy data across systems
- Contribute to the design, development, and implementation of data visualizations, ETL/ELT processes, and data integration solutions
- Take ownership of data visualization projects from inception to deployment, manage scope, timelines, and risks
- Collaborate with cross-functional teams to understand data requirements and design solutions that meet business needs
- Develop and maintain data models, data dictionaries, and other documentation to ensure data accuracy and consistency
- Implement data security and privacy measures to protect sensitive data
- Leverage cloud platforms (AWS preferred) to build scalable and efficient data solutions
- Collaborate and communicate effectively with product teams
- Collaborate with Data Architects, Business SMEs, and Data Scientists to design and develop end-to-end data pipelines to meet fast paced business needs across geographic regions
- Adhere to standard methodologies for coding, testing, and designing reusable code/component
- Explore new tools and technologies that will help to improve data visualization and analytical capabilities
- Participate in sprint planning meetings and provide estimations on technical implementation
What we expect of you
- Master’s degree and 1 to 3 years of Computer Science, IT or related field experience OR
- Bachelor’s 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
- Tableau or Power BI Certified (preferred)
- Databricks Certified (preferred)
Must-Have Skills
- Proficient in data visualization tools such as Tableau, Power BI, and ReactJS for creating interactive dashboards and visualizations
- Strong design and UX skills, including experience with wireframing, prototyping, and user flow mapping using tools like Figma
- Proficiency in Python, PySpark, and Scala for data processing and ETL (Extract, Transform, Load) workflows, with hands-on experience in using Databricks for building ETL pipelines and handling big data processing
- Strong knowledge of SQL and experience with relational (e.g., PostgreSQL, MySQL) databases
- Experienced with software engineering best-practices, including but not limited to version control (GitLab, Subversion, etc.), CI/CD (Jenkins, GITLab etc.), automated unit testing, and Dev Ops
- Experience with cloud platforms such as AWS particularly in data services (e.g., EKS, EC2, S3, EMR, RDS, Redshift/Spectrum, Lambda, Glue, Athena)
- Strong understanding of data modeling, data warehousing, and data integration concepts
- Understanding of machine learning pipelines and frameworks for ML/AI models
- 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
What you can expect of us
- Competitive benefits
- Collaborative culture
- Support for professional and personal growth and well-being
- Competitive and comprehensive Total Rewards Plans that are aligned with local industry standards
Locations
- Hyderabad, India
Salary
Salary not disclosed
Estimated Salary Rangehigh confidence
15,000 - 30,000 USD / yearly
Source: xAI estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Proficient in data visualization tools such as Tableau, Power BI, and ReactJS for creating interactive dashboards and visualizationsintermediate
- Strong design and UX skills, including experience with wireframing, prototyping, and user flow mapping using tools like Figmaintermediate
- Proficiency in Python, PySpark, and Scala for data processing and ETL (Extract, Transform, Load) workflows, with hands-on experience in using Databricks for building ETL pipelines and handling big data processingintermediate
- Strong knowledge of SQL and experience with relational (e.g., PostgreSQL, MySQL) databasesintermediate
- Experienced with software engineering best-practices, including but not limited to version control (GitLab, Subversion, etc.), CI/CD (Jenkins, GITLab etc.), automated unit testing, and Dev Opsintermediate
- Experience with cloud platforms such as AWS particularly in data services (e.g., EKS, EC2, S3, EMR, RDS, Redshift/Spectrum, Lambda, Glue, Athena)intermediate
- Strong understanding of data modeling, data warehousing, and data integration conceptsintermediate
- Understanding of machine learning pipelines and frameworks for ML/AI modelsintermediate
- Excellent critical-thinking and problem-solving skillsintermediate
- Strong communication and collaboration skillsintermediate
- Demonstrated awareness of how to function in a team settingintermediate
- Demonstrated presentation skillsintermediate
Required Qualifications
- Master’s degree and 1 to 3 years of Computer Science, IT or related field experience OR (experience)
- Bachelor’s degree and 3 to 5 years of Computer Science, IT or related field experience OR (experience)
- Diploma and 7 to 9 years of Computer Science, IT or related field experience (experience)
- Tableau or Power BI Certified (preferred) (experience)
- Databricks Certified (preferred) (experience)
Responsibilities
- Design, develop, and maintain data solutions for data generation, collection, and processing
- Be a key team member that assists in design and development of the data pipeline
- Create data pipelines and ensure data quality by implementing ETL processes to migrate and deploy data across systems
- Contribute to the design, development, and implementation of data visualizations, ETL/ELT processes, and data integration solutions
- Take ownership of data visualization projects from inception to deployment, manage scope, timelines, and risks
- Collaborate with cross-functional teams to understand data requirements and design solutions that meet business needs
- Develop and maintain data models, data dictionaries, and other documentation to ensure data accuracy and consistency
- Implement data security and privacy measures to protect sensitive data
- Leverage cloud platforms (AWS preferred) to build scalable and efficient data solutions
- Collaborate and communicate effectively with product teams
- Collaborate with Data Architects, Business SMEs, and Data Scientists to design and develop end-to-end data pipelines to meet fast paced business needs across geographic regions
- Adhere to standard methodologies for coding, testing, and designing reusable code/component
- Explore new tools and technologies that will help to improve data visualization and analytical capabilities
- Participate in sprint planning meetings and provide estimations on technical implementation
Benefits
- general: Competitive benefits
- general: Collaborative culture
- general: Support for professional and personal growth and well-being
- general: Competitive and comprehensive Total Rewards Plans that are aligned with local industry standards
Tags & Categories
Data Visualization Engineer
Amgen
Data Visualization Engineer
Job Description
Join Amgen’s Mission of Serving Patients
What you will do
- Design, develop, and maintain data solutions for data generation, collection, and processing
- Be a key team member that assists in design and development of the data pipeline
- Create data pipelines and ensure data quality by implementing ETL processes to migrate and deploy data across systems
- Contribute to the design, development, and implementation of data visualizations, ETL/ELT processes, and data integration solutions
- Take ownership of data visualization projects from inception to deployment, manage scope, timelines, and risks
- Collaborate with cross-functional teams to understand data requirements and design solutions that meet business needs
- Develop and maintain data models, data dictionaries, and other documentation to ensure data accuracy and consistency
- Implement data security and privacy measures to protect sensitive data
- Leverage cloud platforms (AWS preferred) to build scalable and efficient data solutions
- Collaborate and communicate effectively with product teams
- Collaborate with Data Architects, Business SMEs, and Data Scientists to design and develop end-to-end data pipelines to meet fast paced business needs across geographic regions
- Adhere to standard methodologies for coding, testing, and designing reusable code/component
- Explore new tools and technologies that will help to improve data visualization and analytical capabilities
- Participate in sprint planning meetings and provide estimations on technical implementation
What we expect of you
- Master’s degree and 1 to 3 years of Computer Science, IT or related field experience OR
- Bachelor’s 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
- Tableau or Power BI Certified (preferred)
- Databricks Certified (preferred)
Must-Have Skills
- Proficient in data visualization tools such as Tableau, Power BI, and ReactJS for creating interactive dashboards and visualizations
- Strong design and UX skills, including experience with wireframing, prototyping, and user flow mapping using tools like Figma
- Proficiency in Python, PySpark, and Scala for data processing and ETL (Extract, Transform, Load) workflows, with hands-on experience in using Databricks for building ETL pipelines and handling big data processing
- Strong knowledge of SQL and experience with relational (e.g., PostgreSQL, MySQL) databases
- Experienced with software engineering best-practices, including but not limited to version control (GitLab, Subversion, etc.), CI/CD (Jenkins, GITLab etc.), automated unit testing, and Dev Ops
- Experience with cloud platforms such as AWS particularly in data services (e.g., EKS, EC2, S3, EMR, RDS, Redshift/Spectrum, Lambda, Glue, Athena)
- Strong understanding of data modeling, data warehousing, and data integration concepts
- Understanding of machine learning pipelines and frameworks for ML/AI models
- 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
What you can expect of us
- Competitive benefits
- Collaborative culture
- Support for professional and personal growth and well-being
- Competitive and comprehensive Total Rewards Plans that are aligned with local industry standards
Locations
- Hyderabad, India
Salary
Salary not disclosed
Estimated Salary Rangehigh confidence
15,000 - 30,000 USD / yearly
Source: xAI estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Proficient in data visualization tools such as Tableau, Power BI, and ReactJS for creating interactive dashboards and visualizationsintermediate
- Strong design and UX skills, including experience with wireframing, prototyping, and user flow mapping using tools like Figmaintermediate
- Proficiency in Python, PySpark, and Scala for data processing and ETL (Extract, Transform, Load) workflows, with hands-on experience in using Databricks for building ETL pipelines and handling big data processingintermediate
- Strong knowledge of SQL and experience with relational (e.g., PostgreSQL, MySQL) databasesintermediate
- Experienced with software engineering best-practices, including but not limited to version control (GitLab, Subversion, etc.), CI/CD (Jenkins, GITLab etc.), automated unit testing, and Dev Opsintermediate
- Experience with cloud platforms such as AWS particularly in data services (e.g., EKS, EC2, S3, EMR, RDS, Redshift/Spectrum, Lambda, Glue, Athena)intermediate
- Strong understanding of data modeling, data warehousing, and data integration conceptsintermediate
- Understanding of machine learning pipelines and frameworks for ML/AI modelsintermediate
- Excellent critical-thinking and problem-solving skillsintermediate
- Strong communication and collaboration skillsintermediate
- Demonstrated awareness of how to function in a team settingintermediate
- Demonstrated presentation skillsintermediate
Required Qualifications
- Master’s degree and 1 to 3 years of Computer Science, IT or related field experience OR (experience)
- Bachelor’s degree and 3 to 5 years of Computer Science, IT or related field experience OR (experience)
- Diploma and 7 to 9 years of Computer Science, IT or related field experience (experience)
- Tableau or Power BI Certified (preferred) (experience)
- Databricks Certified (preferred) (experience)
Responsibilities
- Design, develop, and maintain data solutions for data generation, collection, and processing
- Be a key team member that assists in design and development of the data pipeline
- Create data pipelines and ensure data quality by implementing ETL processes to migrate and deploy data across systems
- Contribute to the design, development, and implementation of data visualizations, ETL/ELT processes, and data integration solutions
- Take ownership of data visualization projects from inception to deployment, manage scope, timelines, and risks
- Collaborate with cross-functional teams to understand data requirements and design solutions that meet business needs
- Develop and maintain data models, data dictionaries, and other documentation to ensure data accuracy and consistency
- Implement data security and privacy measures to protect sensitive data
- Leverage cloud platforms (AWS preferred) to build scalable and efficient data solutions
- Collaborate and communicate effectively with product teams
- Collaborate with Data Architects, Business SMEs, and Data Scientists to design and develop end-to-end data pipelines to meet fast paced business needs across geographic regions
- Adhere to standard methodologies for coding, testing, and designing reusable code/component
- Explore new tools and technologies that will help to improve data visualization and analytical capabilities
- Participate in sprint planning meetings and provide estimations on technical implementation
Benefits
- general: Competitive benefits
- general: Collaborative culture
- general: Support for professional and personal growth and well-being
- general: Competitive and comprehensive Total Rewards Plans that are aligned with local industry standards
Tags & Categories