Data Platform RunOps Engineer
Amgen
Data Platform RunOps Engineer
Job Description
Join Amgen’s Mission of Serving Patients
What you will do
- Support and maintain cloud and big data solutions used by functional teams like Manufacturing, Commercial, Research and Development
- Work closely with the Enterprise Data Lake delivery and platform teams to ensure that the applications are aligned with the overall architectural and development guidelines
- Research and evaluate technical solutions including Databricks, AWS Services, Kubernetes/EKS, NoSQL databases, Data Science packages, platforms and tools with a focus on enterprise deployment capabilities like security, scalability, reliability, maintainability, cost management etc.
- Management of Enterprise Data Lake/Fabric platform incidents related to Databricks, AWS Services, Kubernetes/EKS, NoSQL databases, platforms and tools
- Assist in building and managing relationships with internal and external business stakeholders
- Develop basic understanding of core business problems and identify opportunities to use advanced analytics
- Work closely with the Enterprise Data Lake ecosystem leads to identify and evaluate emerging providers of data management & processing components that could be incorporated into data platform.
- Work with platform stakeholders to ensure effective cost observability and control mechanisms are in place for all aspects of data platform management.
- Experience working in Agile environments and participating in Agile ceremonies.
- Work during US business hours to support cross-functional teams including Manufacturing, Commercial, and Research & Development in their use of Enterprise Data Lake
What we expect of you
- Master's degree / Bachelor's degree and 5 to 9 years of relevant experience OR
- Experience with Databricks capabilities including but not limited to setting up AI capabilities, cluster setup, execution, and tuning
- Experience with AWS services including but not limited to MSK, IAM, EC2, EKS and S3.
- Experience with data lake, data fabric and data mesh concepts
- Experience with platform performance optimization
- Experience working with relational databases
- Experience building ETL or ELT pipelines; Hands-on experience with SQL/NoSQL
- Knowledge of distributed systems and microservices.
- Program skills in one or more computer languages – SQL, Python, Java
- Experienced with software engineering best-practices, including but not limited to version control (Git, GitLab.), CI/CD (GitLab or similar), automated unit testing, and Dev Ops
- Exposure to Jira or Jira Align.
Must-Have Skills
- Experience in Cloud technologies AWS preferred.
- Cloud Certifications -AWS, Databricks, Microsoft
- Familiarity with the use of AI for development productivity, such as GitHub Copilot, Databricks Assistant, Amazon Q Developer or equivalent.
- Knowledge of Agile and DevOps practices.
- Skills in disaster recovery planning.
- Familiarity with load testing tools (JMeter, Gatling).
- Basic understanding of AI/ML for monitoring.
- Data visualization skills (Tableau, Power BI).
- Strong communication and leadership skills.
- Understanding of compliance and auditing requirements.
- Knowledge of Low code/No Code platform like Prophecy
- Familiarity with Shell Scripting
- Working knowledge with ServiceNow.
- Excellent analytical and solve skills
- Excellent written and verbal communications skills (English) in translating technology content into business-language at various levels
- Ability to work effectively with global, virtual teams
- High degree of initiative and self-motivation
- Ability to manage multiple priorities successfully
- Team-oriented, with a focus on achieving team goals
- Strong problem-solving and analytical skills.
- Strong time and task leadership skills to estimate and successfully meet project timeline with ability to bring consistency and quality assurance across various projects.
Locations
- Hyderabad, India
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
- Experience in Cloud technologies AWS preferred.intermediate
- Cloud Certifications -AWS, Databricks, Microsoftintermediate
- Familiarity with the use of AI for development productivity, such as GitHub Copilot, Databricks Assistant, Amazon Q Developer or equivalent.intermediate
- Knowledge of Agile and DevOps practices.intermediate
- Skills in disaster recovery planning.intermediate
- Familiarity with load testing tools (JMeter, Gatling).intermediate
- Basic understanding of AI/ML for monitoring.intermediate
- Data visualization skills (Tableau, Power BI).intermediate
- Strong communication and leadership skills.intermediate
- Understanding of compliance and auditing requirements.intermediate
- Knowledge of Low code/No Code platform like Prophecyintermediate
- Familiarity with Shell Scriptingintermediate
- Working knowledge with ServiceNow.intermediate
- Excellent analytical and solve skillsintermediate
- Excellent written and verbal communications skills (English) in translating technology content into business-language at various levelsintermediate
- Ability to work effectively with global, virtual teamsintermediate
- High degree of initiative and self-motivationintermediate
- Ability to manage multiple priorities successfullyintermediate
- Team-oriented, with a focus on achieving team goalsintermediate
- Strong problem-solving and analytical skills.intermediate
- Strong time and task leadership skills to estimate and successfully meet project timeline with ability to bring consistency and quality assurance across various projects.intermediate
Required Qualifications
- Master's degree / Bachelor's degree and 5 to 9 years of relevant experience OR (experience)
- Experience with Databricks capabilities including but not limited to setting up AI capabilities, cluster setup, execution, and tuning (experience)
- Experience with AWS services including but not limited to MSK, IAM, EC2, EKS and S3. (experience)
- Experience with data lake, data fabric and data mesh concepts (experience)
- Experience with platform performance optimization (experience)
- Experience working with relational databases (experience)
- Experience building ETL or ELT pipelines; Hands-on experience with SQL/NoSQL (experience)
- Knowledge of distributed systems and microservices. (experience)
- Program skills in one or more computer languages – SQL, Python, Java (experience)
- Experienced with software engineering best-practices, including but not limited to version control (Git, GitLab.), CI/CD (GitLab or similar), automated unit testing, and Dev Ops (experience)
- Exposure to Jira or Jira Align. (experience)
Responsibilities
- Support and maintain cloud and big data solutions used by functional teams like Manufacturing, Commercial, Research and Development
- Work closely with the Enterprise Data Lake delivery and platform teams to ensure that the applications are aligned with the overall architectural and development guidelines
- Research and evaluate technical solutions including Databricks, AWS Services, Kubernetes/EKS, NoSQL databases, Data Science packages, platforms and tools with a focus on enterprise deployment capabilities like security, scalability, reliability, maintainability, cost management etc.
- Management of Enterprise Data Lake/Fabric platform incidents related to Databricks, AWS Services, Kubernetes/EKS, NoSQL databases, platforms and tools
- Assist in building and managing relationships with internal and external business stakeholders
- Develop basic understanding of core business problems and identify opportunities to use advanced analytics
- Work closely with the Enterprise Data Lake ecosystem leads to identify and evaluate emerging providers of data management & processing components that could be incorporated into data platform.
- Work with platform stakeholders to ensure effective cost observability and control mechanisms are in place for all aspects of data platform management.
- Experience working in Agile environments and participating in Agile ceremonies.
- Work during US business hours to support cross-functional teams including Manufacturing, Commercial, and Research & Development in their use of Enterprise Data Lake
Tags & Categories
Data Platform RunOps Engineer
Amgen
Data Platform RunOps Engineer
Job Description
Join Amgen’s Mission of Serving Patients
What you will do
- Support and maintain cloud and big data solutions used by functional teams like Manufacturing, Commercial, Research and Development
- Work closely with the Enterprise Data Lake delivery and platform teams to ensure that the applications are aligned with the overall architectural and development guidelines
- Research and evaluate technical solutions including Databricks, AWS Services, Kubernetes/EKS, NoSQL databases, Data Science packages, platforms and tools with a focus on enterprise deployment capabilities like security, scalability, reliability, maintainability, cost management etc.
- Management of Enterprise Data Lake/Fabric platform incidents related to Databricks, AWS Services, Kubernetes/EKS, NoSQL databases, platforms and tools
- Assist in building and managing relationships with internal and external business stakeholders
- Develop basic understanding of core business problems and identify opportunities to use advanced analytics
- Work closely with the Enterprise Data Lake ecosystem leads to identify and evaluate emerging providers of data management & processing components that could be incorporated into data platform.
- Work with platform stakeholders to ensure effective cost observability and control mechanisms are in place for all aspects of data platform management.
- Experience working in Agile environments and participating in Agile ceremonies.
- Work during US business hours to support cross-functional teams including Manufacturing, Commercial, and Research & Development in their use of Enterprise Data Lake
What we expect of you
- Master's degree / Bachelor's degree and 5 to 9 years of relevant experience OR
- Experience with Databricks capabilities including but not limited to setting up AI capabilities, cluster setup, execution, and tuning
- Experience with AWS services including but not limited to MSK, IAM, EC2, EKS and S3.
- Experience with data lake, data fabric and data mesh concepts
- Experience with platform performance optimization
- Experience working with relational databases
- Experience building ETL or ELT pipelines; Hands-on experience with SQL/NoSQL
- Knowledge of distributed systems and microservices.
- Program skills in one or more computer languages – SQL, Python, Java
- Experienced with software engineering best-practices, including but not limited to version control (Git, GitLab.), CI/CD (GitLab or similar), automated unit testing, and Dev Ops
- Exposure to Jira or Jira Align.
Must-Have Skills
- Experience in Cloud technologies AWS preferred.
- Cloud Certifications -AWS, Databricks, Microsoft
- Familiarity with the use of AI for development productivity, such as GitHub Copilot, Databricks Assistant, Amazon Q Developer or equivalent.
- Knowledge of Agile and DevOps practices.
- Skills in disaster recovery planning.
- Familiarity with load testing tools (JMeter, Gatling).
- Basic understanding of AI/ML for monitoring.
- Data visualization skills (Tableau, Power BI).
- Strong communication and leadership skills.
- Understanding of compliance and auditing requirements.
- Knowledge of Low code/No Code platform like Prophecy
- Familiarity with Shell Scripting
- Working knowledge with ServiceNow.
- Excellent analytical and solve skills
- Excellent written and verbal communications skills (English) in translating technology content into business-language at various levels
- Ability to work effectively with global, virtual teams
- High degree of initiative and self-motivation
- Ability to manage multiple priorities successfully
- Team-oriented, with a focus on achieving team goals
- Strong problem-solving and analytical skills.
- Strong time and task leadership skills to estimate and successfully meet project timeline with ability to bring consistency and quality assurance across various projects.
Locations
- Hyderabad, India
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
- Experience in Cloud technologies AWS preferred.intermediate
- Cloud Certifications -AWS, Databricks, Microsoftintermediate
- Familiarity with the use of AI for development productivity, such as GitHub Copilot, Databricks Assistant, Amazon Q Developer or equivalent.intermediate
- Knowledge of Agile and DevOps practices.intermediate
- Skills in disaster recovery planning.intermediate
- Familiarity with load testing tools (JMeter, Gatling).intermediate
- Basic understanding of AI/ML for monitoring.intermediate
- Data visualization skills (Tableau, Power BI).intermediate
- Strong communication and leadership skills.intermediate
- Understanding of compliance and auditing requirements.intermediate
- Knowledge of Low code/No Code platform like Prophecyintermediate
- Familiarity with Shell Scriptingintermediate
- Working knowledge with ServiceNow.intermediate
- Excellent analytical and solve skillsintermediate
- Excellent written and verbal communications skills (English) in translating technology content into business-language at various levelsintermediate
- Ability to work effectively with global, virtual teamsintermediate
- High degree of initiative and self-motivationintermediate
- Ability to manage multiple priorities successfullyintermediate
- Team-oriented, with a focus on achieving team goalsintermediate
- Strong problem-solving and analytical skills.intermediate
- Strong time and task leadership skills to estimate and successfully meet project timeline with ability to bring consistency and quality assurance across various projects.intermediate
Required Qualifications
- Master's degree / Bachelor's degree and 5 to 9 years of relevant experience OR (experience)
- Experience with Databricks capabilities including but not limited to setting up AI capabilities, cluster setup, execution, and tuning (experience)
- Experience with AWS services including but not limited to MSK, IAM, EC2, EKS and S3. (experience)
- Experience with data lake, data fabric and data mesh concepts (experience)
- Experience with platform performance optimization (experience)
- Experience working with relational databases (experience)
- Experience building ETL or ELT pipelines; Hands-on experience with SQL/NoSQL (experience)
- Knowledge of distributed systems and microservices. (experience)
- Program skills in one or more computer languages – SQL, Python, Java (experience)
- Experienced with software engineering best-practices, including but not limited to version control (Git, GitLab.), CI/CD (GitLab or similar), automated unit testing, and Dev Ops (experience)
- Exposure to Jira or Jira Align. (experience)
Responsibilities
- Support and maintain cloud and big data solutions used by functional teams like Manufacturing, Commercial, Research and Development
- Work closely with the Enterprise Data Lake delivery and platform teams to ensure that the applications are aligned with the overall architectural and development guidelines
- Research and evaluate technical solutions including Databricks, AWS Services, Kubernetes/EKS, NoSQL databases, Data Science packages, platforms and tools with a focus on enterprise deployment capabilities like security, scalability, reliability, maintainability, cost management etc.
- Management of Enterprise Data Lake/Fabric platform incidents related to Databricks, AWS Services, Kubernetes/EKS, NoSQL databases, platforms and tools
- Assist in building and managing relationships with internal and external business stakeholders
- Develop basic understanding of core business problems and identify opportunities to use advanced analytics
- Work closely with the Enterprise Data Lake ecosystem leads to identify and evaluate emerging providers of data management & processing components that could be incorporated into data platform.
- Work with platform stakeholders to ensure effective cost observability and control mechanisms are in place for all aspects of data platform management.
- Experience working in Agile environments and participating in Agile ceremonies.
- Work during US business hours to support cross-functional teams including Manufacturing, Commercial, and Research & Development in their use of Enterprise Data Lake
Tags & Categories