Data Engineer
Amgen
Data Engineer
Job Description
ABOUT AMGEN
What you will do
- Design, develop, and maintain data solutions for data generation, collection, and processing
- Assist in design and development of the data pipeline
- Build data pipelines and ensure data quality by implementing ETL processes to migrate and deploy data across systems
- Develop and maintain interactive dashboards and reports using tools like Tableau, ensuring data accuracy and usability
- Schedule and manage workflows to ensure pipelines run on schedule and are monitored for failures
- Collaborate with multi-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 scientists to develop pipelines that meet dynamic business needs
- Share and discuss findings with team members practicing SAFe Agile delivery model
What we expect of you
- Master’s degree and 1 to 3 years of experience in Computer Science, IT or related field
- OR Bachelor’s degree and 3 to 5 years of experience in Computer Science, IT or related field
- OR Diploma and 7 to 9 years of experience in Computer Science, IT or related field
- Hands on experience with data practices, technologies, and platforms, such as Databricks, Python, GitLab, LucidChart, etc.
- Hands-on experience with data visualization and dashboarding tools—Tableau, Power BI, or similar is a plus
- Proficiency in data analysis tools (e.g. SQL) and experience with data sourcing tools
- Excellent problem-solving skills and the ability to work with large, complex datasets
- Understanding 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)
- 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
- Experience working in Product team's environment
- Experience working in an Agile environment
- AWS Certified Data Engineer preferred
- Databricks Certificate preferred
Must-Have Skills
- Initiative to explore alternate technology and approaches to solving problems
- Skilled in breaking down problems, documenting problem statements, and estimating efforts
- Excellent analytical and troubleshooting skills
- Strong verbal and written communication skills
- Ability to work effectively with global, virtual teams
- High degree of initiative and self-motivation
- Ability to handle multiple priorities successfully
- Team-oriented, with a focus on achieving team goals
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
- Initiative to explore alternate technology and approaches to solving problemsintermediate
- Skilled in breaking down problems, documenting problem statements, and estimating effortsintermediate
- Excellent analytical and troubleshooting skillsintermediate
- Strong verbal and written communication skillsintermediate
- Ability to work effectively with global, virtual teamsintermediate
- High degree of initiative and self-motivationintermediate
- Ability to handle multiple priorities successfullyintermediate
- Team-oriented, with a focus on achieving team goalsintermediate
Required Qualifications
- Master’s degree and 1 to 3 years of experience in Computer Science, IT or related field (experience)
- OR Bachelor’s degree and 3 to 5 years of experience in Computer Science, IT or related field (experience)
- OR Diploma and 7 to 9 years of experience in Computer Science, IT or related field (experience)
- Hands on experience with data practices, technologies, and platforms, such as Databricks, Python, GitLab, LucidChart, etc. (experience)
- Hands-on experience with data visualization and dashboarding tools—Tableau, Power BI, or similar is a plus (experience)
- Proficiency in data analysis tools (e.g. SQL) and experience with data sourcing tools (experience)
- Excellent problem-solving skills and the ability to work with large, complex datasets (experience)
- Understanding of data governance frameworks, tools, and best practices (experience)
- Knowledge of and experience with data standards (FAIR) and protection regulations and compliance requirements (e.g., GDPR, CCPA) (experience)
- Experience with ETL tools and various Python packages related to data processing, machine learning model development (experience)
- Strong understanding of data modeling, data warehousing, and data integration concepts (experience)
- Knowledge of Python/R, Databricks, cloud data platforms (experience)
- Experience working in Product team's environment (experience)
- Experience working in an Agile environment (experience)
- AWS Certified Data Engineer preferred (experience)
- Databricks Certificate preferred (experience)
Responsibilities
- Design, develop, and maintain data solutions for data generation, collection, and processing
- Assist in design and development of the data pipeline
- Build data pipelines and ensure data quality by implementing ETL processes to migrate and deploy data across systems
- Develop and maintain interactive dashboards and reports using tools like Tableau, ensuring data accuracy and usability
- Schedule and manage workflows to ensure pipelines run on schedule and are monitored for failures
- Collaborate with multi-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 scientists to develop pipelines that meet dynamic business needs
- Share and discuss findings with team members practicing SAFe Agile delivery model
Tags & Categories
Data Engineer
Amgen
Data Engineer
Job Description
ABOUT AMGEN
What you will do
- Design, develop, and maintain data solutions for data generation, collection, and processing
- Assist in design and development of the data pipeline
- Build data pipelines and ensure data quality by implementing ETL processes to migrate and deploy data across systems
- Develop and maintain interactive dashboards and reports using tools like Tableau, ensuring data accuracy and usability
- Schedule and manage workflows to ensure pipelines run on schedule and are monitored for failures
- Collaborate with multi-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 scientists to develop pipelines that meet dynamic business needs
- Share and discuss findings with team members practicing SAFe Agile delivery model
What we expect of you
- Master’s degree and 1 to 3 years of experience in Computer Science, IT or related field
- OR Bachelor’s degree and 3 to 5 years of experience in Computer Science, IT or related field
- OR Diploma and 7 to 9 years of experience in Computer Science, IT or related field
- Hands on experience with data practices, technologies, and platforms, such as Databricks, Python, GitLab, LucidChart, etc.
- Hands-on experience with data visualization and dashboarding tools—Tableau, Power BI, or similar is a plus
- Proficiency in data analysis tools (e.g. SQL) and experience with data sourcing tools
- Excellent problem-solving skills and the ability to work with large, complex datasets
- Understanding 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)
- 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
- Experience working in Product team's environment
- Experience working in an Agile environment
- AWS Certified Data Engineer preferred
- Databricks Certificate preferred
Must-Have Skills
- Initiative to explore alternate technology and approaches to solving problems
- Skilled in breaking down problems, documenting problem statements, and estimating efforts
- Excellent analytical and troubleshooting skills
- Strong verbal and written communication skills
- Ability to work effectively with global, virtual teams
- High degree of initiative and self-motivation
- Ability to handle multiple priorities successfully
- Team-oriented, with a focus on achieving team goals
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
- Initiative to explore alternate technology and approaches to solving problemsintermediate
- Skilled in breaking down problems, documenting problem statements, and estimating effortsintermediate
- Excellent analytical and troubleshooting skillsintermediate
- Strong verbal and written communication skillsintermediate
- Ability to work effectively with global, virtual teamsintermediate
- High degree of initiative and self-motivationintermediate
- Ability to handle multiple priorities successfullyintermediate
- Team-oriented, with a focus on achieving team goalsintermediate
Required Qualifications
- Master’s degree and 1 to 3 years of experience in Computer Science, IT or related field (experience)
- OR Bachelor’s degree and 3 to 5 years of experience in Computer Science, IT or related field (experience)
- OR Diploma and 7 to 9 years of experience in Computer Science, IT or related field (experience)
- Hands on experience with data practices, technologies, and platforms, such as Databricks, Python, GitLab, LucidChart, etc. (experience)
- Hands-on experience with data visualization and dashboarding tools—Tableau, Power BI, or similar is a plus (experience)
- Proficiency in data analysis tools (e.g. SQL) and experience with data sourcing tools (experience)
- Excellent problem-solving skills and the ability to work with large, complex datasets (experience)
- Understanding of data governance frameworks, tools, and best practices (experience)
- Knowledge of and experience with data standards (FAIR) and protection regulations and compliance requirements (e.g., GDPR, CCPA) (experience)
- Experience with ETL tools and various Python packages related to data processing, machine learning model development (experience)
- Strong understanding of data modeling, data warehousing, and data integration concepts (experience)
- Knowledge of Python/R, Databricks, cloud data platforms (experience)
- Experience working in Product team's environment (experience)
- Experience working in an Agile environment (experience)
- AWS Certified Data Engineer preferred (experience)
- Databricks Certificate preferred (experience)
Responsibilities
- Design, develop, and maintain data solutions for data generation, collection, and processing
- Assist in design and development of the data pipeline
- Build data pipelines and ensure data quality by implementing ETL processes to migrate and deploy data across systems
- Develop and maintain interactive dashboards and reports using tools like Tableau, ensuring data accuracy and usability
- Schedule and manage workflows to ensure pipelines run on schedule and are monitored for failures
- Collaborate with multi-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 scientists to develop pipelines that meet dynamic business needs
- Share and discuss findings with team members practicing SAFe Agile delivery model
Tags & Categories