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 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
- Contribute to the design, development, and implementation of data pipelines, ETL/ELT processes, and data integration solutions
- Take ownership of data pipeline 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
- Identify and resolve complex data-related challenges
- Adhere to best practices for coding, testing, and designing reusable code/component
- Explore new tools and technologies that will help to improve ETL platform performance
- Participate in sprint planning meetings and provide estimations on technical implementation
What we expect of you
- Master's degree / Bachelor's degree and 5 to 9 years
Must-Have Skills
- Hands-on experience with big data technologies and platforms, such as Databricks, Apache Spark (PySpark, SparkSQL), workflow orchestration, performance tuning on big data processing
- Proficiency in data analysis tools (eg. SQL) and experience with data visualization tools
- Excellent problem-solving skills and the ability to work with large, complex datasets
- Solid understanding of data governance frameworks, tools, and best practices
- Knowledge of data protection regulations and compliance requirements
- Experience with ETL tools such as Apache Spark, and various Python packages related to data processing, machine learning model development
- Knowledge of Python/R, Databricks, SageMaker, cloud data platforms
- Professional Certifications: Certified Data Engineer / Data Analyst (preferred on Databricks or cloud environments)
Good-to-Have Skills
- Good understanding of data modeling, data warehousing, and data integration concepts
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
15,000 - 25,000 USD / yearly
Source: xAI estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Hands-on experience with big data technologies and platforms, such as Databricks, Apache Spark (PySpark, SparkSQL), workflow orchestration, performance tuning on big data processingintermediate
- Proficiency in data analysis tools (eg. SQL) and experience with data visualization toolsintermediate
- Excellent problem-solving skills and the ability to work with large, complex datasetsintermediate
- Solid understanding of data governance frameworks, tools, and best practicesintermediate
- Knowledge of data protection regulations and compliance requirementsintermediate
- Experience with ETL tools such as Apache Spark, and various Python packages related to data processing, machine learning model developmentintermediate
- Good understanding of data modeling, data warehousing, and data integration conceptsintermediate
- Knowledge of Python/R, Databricks, SageMaker, cloud data platformsintermediate
- Professional Certifications: Certified Data Engineer / Data Analyst (preferred on Databricks or cloud environments)intermediate
Required Qualifications
- Master's degree / Bachelor's degree and 5 to 9 years (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
- Contribute to the design, development, and implementation of data pipelines, ETL/ELT processes, and data integration solutions
- Take ownership of data pipeline 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
- Identify and resolve complex data-related challenges
- Adhere to best practices for coding, testing, and designing reusable code/component
- Explore new tools and technologies that will help to improve ETL platform performance
- Participate in sprint planning meetings and provide estimations on technical implementation
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 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
- Contribute to the design, development, and implementation of data pipelines, ETL/ELT processes, and data integration solutions
- Take ownership of data pipeline 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
- Identify and resolve complex data-related challenges
- Adhere to best practices for coding, testing, and designing reusable code/component
- Explore new tools and technologies that will help to improve ETL platform performance
- Participate in sprint planning meetings and provide estimations on technical implementation
What we expect of you
- Master's degree / Bachelor's degree and 5 to 9 years
Must-Have Skills
- Hands-on experience with big data technologies and platforms, such as Databricks, Apache Spark (PySpark, SparkSQL), workflow orchestration, performance tuning on big data processing
- Proficiency in data analysis tools (eg. SQL) and experience with data visualization tools
- Excellent problem-solving skills and the ability to work with large, complex datasets
- Solid understanding of data governance frameworks, tools, and best practices
- Knowledge of data protection regulations and compliance requirements
- Experience with ETL tools such as Apache Spark, and various Python packages related to data processing, machine learning model development
- Knowledge of Python/R, Databricks, SageMaker, cloud data platforms
- Professional Certifications: Certified Data Engineer / Data Analyst (preferred on Databricks or cloud environments)
Good-to-Have Skills
- Good understanding of data modeling, data warehousing, and data integration concepts
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
15,000 - 25,000 USD / yearly
Source: xAI estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Hands-on experience with big data technologies and platforms, such as Databricks, Apache Spark (PySpark, SparkSQL), workflow orchestration, performance tuning on big data processingintermediate
- Proficiency in data analysis tools (eg. SQL) and experience with data visualization toolsintermediate
- Excellent problem-solving skills and the ability to work with large, complex datasetsintermediate
- Solid understanding of data governance frameworks, tools, and best practicesintermediate
- Knowledge of data protection regulations and compliance requirementsintermediate
- Experience with ETL tools such as Apache Spark, and various Python packages related to data processing, machine learning model developmentintermediate
- Good understanding of data modeling, data warehousing, and data integration conceptsintermediate
- Knowledge of Python/R, Databricks, SageMaker, cloud data platformsintermediate
- Professional Certifications: Certified Data Engineer / Data Analyst (preferred on Databricks or cloud environments)intermediate
Required Qualifications
- Master's degree / Bachelor's degree and 5 to 9 years (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
- Contribute to the design, development, and implementation of data pipelines, ETL/ELT processes, and data integration solutions
- Take ownership of data pipeline 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
- Identify and resolve complex data-related challenges
- Adhere to best practices for coding, testing, and designing reusable code/component
- Explore new tools and technologies that will help to improve ETL platform performance
- Participate in sprint planning meetings and provide estimations on technical implementation
Benefits
- general: Competitive benefits
- general: Collaborative culture
- general: Competitive and comprehensive Total Rewards Plans that are aligned with local industry standards
Tags & Categories