Specialist Software Development Engineer
Amgen
Specialist Software Development Engineer
Job Description
ABOUT AMGEN
What you will do
- Lead integrations teams across different tech stacks such as Databricks, MuleSoft for both development and support
- Design, develop, and maintain data solutions for data generation, collection, and processing using Databricks and Airflow
- Design, build and maintain APIs and MuleSoft jobs leveraging best practices to build robust integrations between CRM and cross-functional systems
- Assist 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 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
- Lead Production Support and working with cross-functional teams and vendors to ensure stability and continuity
What we expect of you
- Doctorate Degree OR Master’s degree with 6 - 11 years of experience in Computer Science, IT or related field OR Bachelor’s degree with 8 - 13 years of experience in Computer Science, IT or related field OR Diploma with 10 - 14 years of experience in Computer Science, IT or related field
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
- Skilled in MuleSoft API and Mulesoft integration job design and development
- Excellent problem-solving skills and the ability to work with large, complex datasets
- Strong understanding of data governance frameworks, tools, and best practices
- Knowledge of data protection regulations and compliance requirements (e.g., GDPR, CCPA)
- Experience with ETL tools such as Apache Spark, 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 AnyPoint Platform, Python/R, Databricks, SageMaker, Airflow, AWS cloud data platforms
- Proficiency in using Databricks Assistant, and other AI tools
- 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
Locations
- Hyderabad, India
Salary
Salary not disclosed
Estimated Salary Rangehigh confidence
50,000 - 80,000 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
- Skilled in MuleSoft API and Mulesoft integration job design and developmentintermediate
- Excellent problem-solving skills and the ability to work with large, complex datasetsintermediate
- Strong understanding of data governance frameworks, tools, and best practicesintermediate
- Knowledge of data protection regulations and compliance requirements (e.g., GDPR, CCPA)intermediate
- Experience with ETL tools such as Apache Spark, and various Python packages related to data processing, machine learning model developmentintermediate
- Strong understanding of data modeling, data warehousing, and data integration conceptsintermediate
- Knowledge of AnyPoint Platform, Python/R, Databricks, SageMaker, Airflow, AWS cloud data platformsintermediate
- Proficiency in using Databricks Assistant, and other AI toolsintermediate
- 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
- Doctorate Degree OR Master’s degree with 6 - 11 years of experience in Computer Science, IT or related field OR Bachelor’s degree with 8 - 13 years of experience in Computer Science, IT or related field OR Diploma with 10 - 14 years of experience in Computer Science, IT or related field (experience)
Responsibilities
- Lead integrations teams across different tech stacks such as Databricks, MuleSoft for both development and support
- Design, develop, and maintain data solutions for data generation, collection, and processing using Databricks and Airflow
- Design, build and maintain APIs and MuleSoft jobs leveraging best practices to build robust integrations between CRM and cross-functional systems
- Assist 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 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
- Lead Production Support and working with cross-functional teams and vendors to ensure stability and continuity
Tags & Categories
Specialist Software Development Engineer
Amgen
Specialist Software Development Engineer
Job Description
ABOUT AMGEN
What you will do
- Lead integrations teams across different tech stacks such as Databricks, MuleSoft for both development and support
- Design, develop, and maintain data solutions for data generation, collection, and processing using Databricks and Airflow
- Design, build and maintain APIs and MuleSoft jobs leveraging best practices to build robust integrations between CRM and cross-functional systems
- Assist 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 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
- Lead Production Support and working with cross-functional teams and vendors to ensure stability and continuity
What we expect of you
- Doctorate Degree OR Master’s degree with 6 - 11 years of experience in Computer Science, IT or related field OR Bachelor’s degree with 8 - 13 years of experience in Computer Science, IT or related field OR Diploma with 10 - 14 years of experience in Computer Science, IT or related field
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
- Skilled in MuleSoft API and Mulesoft integration job design and development
- Excellent problem-solving skills and the ability to work with large, complex datasets
- Strong understanding of data governance frameworks, tools, and best practices
- Knowledge of data protection regulations and compliance requirements (e.g., GDPR, CCPA)
- Experience with ETL tools such as Apache Spark, 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 AnyPoint Platform, Python/R, Databricks, SageMaker, Airflow, AWS cloud data platforms
- Proficiency in using Databricks Assistant, and other AI tools
- 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
Locations
- Hyderabad, India
Salary
Salary not disclosed
Estimated Salary Rangehigh confidence
50,000 - 80,000 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
- Skilled in MuleSoft API and Mulesoft integration job design and developmentintermediate
- Excellent problem-solving skills and the ability to work with large, complex datasetsintermediate
- Strong understanding of data governance frameworks, tools, and best practicesintermediate
- Knowledge of data protection regulations and compliance requirements (e.g., GDPR, CCPA)intermediate
- Experience with ETL tools such as Apache Spark, and various Python packages related to data processing, machine learning model developmentintermediate
- Strong understanding of data modeling, data warehousing, and data integration conceptsintermediate
- Knowledge of AnyPoint Platform, Python/R, Databricks, SageMaker, Airflow, AWS cloud data platformsintermediate
- Proficiency in using Databricks Assistant, and other AI toolsintermediate
- 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
- Doctorate Degree OR Master’s degree with 6 - 11 years of experience in Computer Science, IT or related field OR Bachelor’s degree with 8 - 13 years of experience in Computer Science, IT or related field OR Diploma with 10 - 14 years of experience in Computer Science, IT or related field (experience)
Responsibilities
- Lead integrations teams across different tech stacks such as Databricks, MuleSoft for both development and support
- Design, develop, and maintain data solutions for data generation, collection, and processing using Databricks and Airflow
- Design, build and maintain APIs and MuleSoft jobs leveraging best practices to build robust integrations between CRM and cross-functional systems
- Assist 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 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
- Lead Production Support and working with cross-functional teams and vendors to ensure stability and continuity
Tags & Categories