Principal Data Engineer
Amgen
Principal Data Engineer
Job Description
Join Amgen’s Mission of Serving Patients
What you will do
- Provide expert guidance and mentorship to the data engineering team, fostering a culture of innovation and standard methodologies
- Design, develop, and implement robust data architectures and platforms to support business objectives
- Oversee the development and optimization of data pipelines, and data integration solutions
- Establish and maintain data governance policies and standards to ensure data quality, security, and compliance
- Architect and manage cloud-based data solutions, using AWS or other preferred platforms
- Lead and motivate an impactful data engineering team to deliver exceptional results
- Identify, analyze, and resolve complex data-related challenges
- Collaborate closely with business collaborators to understand data requirements and translate them into technical solutions
- Stay abreast of emerging data technologies and explore opportunities for innovation
What we expect of you
- Master’s degree and 8 to 10 years of computer science and engineering preferred, other Engineering field is considered
- OR Bachelor’s degree and 10 to 14 years of computer science and engineering preferred, other Engineering field is considered
- Diploma and 14 to 18 years of in computer science and engineering preferred, other Engineering field is considered
- Demonstrated proficiency in using cloud platforms (AWS, Azure, GCP) for data engineering solutions. Strong understanding of cloud architecture principles and cost optimization strategies
- Proficient on experience in Python, PySpark, SQL. Handon experience with bid data ETL performance tuning
- Proven ability to lead and develop impactful data engineering teams
- Strong problem-solving, analytical, and critical thinking skills to address complex data challenges
Must-Have Skills
- Strong rapid prototyping skills and can quickly translate concepts into working code
- Experienced with data modeling and performance tuning for both OLAP and OLTP databases
- Experienced with Apache Spark, Apache Airflow
- Experienced with software engineering best-practices, including but not limited to version control (Git, Subversion, etc.), CI/CD (Jenkins, Maven etc.), automated unit testing, and Dev Ops
- Experienced with AWS, GCP or Azure cloud services
- Professional Certifications AWS Certified Data Engineer preferred
- Databricks Certificate preferred
- 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 manage multiple priorities successfully
- Team-oriented, with a focus on achieving team goals
- Strong presentation and public speaking skills
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
80,000 - 120,000 USD / yearly
Source: xAI estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Strong rapid prototyping skills and can quickly translate concepts into working codeintermediate
- Experienced with data modeling and performance tuning for both OLAP and OLTP databasesintermediate
- Experienced with Apache Spark, Apache Airflowintermediate
- Experienced with software engineering best-practices, including but not limited to version control (Git, Subversion, etc.), CI/CD (Jenkins, Maven etc.), automated unit testing, and Dev Opsintermediate
- Experienced with AWS, GCP or Azure cloud servicesintermediate
- Professional Certifications AWS Certified Data Engineer preferredintermediate
- Databricks Certificate preferredintermediate
- 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 manage multiple priorities successfullyintermediate
- Team-oriented, with a focus on achieving team goalsintermediate
- Strong presentation and public speaking skillsintermediate
Required Qualifications
- Master’s degree and 8 to 10 years of computer science and engineering preferred, other Engineering field is considered (experience)
- OR Bachelor’s degree and 10 to 14 years of computer science and engineering preferred, other Engineering field is considered (experience)
- Diploma and 14 to 18 years of in computer science and engineering preferred, other Engineering field is considered (experience)
- Demonstrated proficiency in using cloud platforms (AWS, Azure, GCP) for data engineering solutions. Strong understanding of cloud architecture principles and cost optimization strategies (experience)
- Proficient on experience in Python, PySpark, SQL. Handon experience with bid data ETL performance tuning (experience)
- Proven ability to lead and develop impactful data engineering teams (experience)
- Strong problem-solving, analytical, and critical thinking skills to address complex data challenges (experience)
Responsibilities
- Provide expert guidance and mentorship to the data engineering team, fostering a culture of innovation and standard methodologies
- Design, develop, and implement robust data architectures and platforms to support business objectives
- Oversee the development and optimization of data pipelines, and data integration solutions
- Establish and maintain data governance policies and standards to ensure data quality, security, and compliance
- Architect and manage cloud-based data solutions, using AWS or other preferred platforms
- Lead and motivate an impactful data engineering team to deliver exceptional results
- Identify, analyze, and resolve complex data-related challenges
- Collaborate closely with business collaborators to understand data requirements and translate them into technical solutions
- Stay abreast of emerging data technologies and explore opportunities for innovation
Benefits
- general: Competitive benefits
- general: Collaborative culture
- general: Competitive and comprehensive Total Rewards Plans that are aligned with local industry standards
Tags & Categories
Principal Data Engineer
Amgen
Principal Data Engineer
Job Description
Join Amgen’s Mission of Serving Patients
What you will do
- Provide expert guidance and mentorship to the data engineering team, fostering a culture of innovation and standard methodologies
- Design, develop, and implement robust data architectures and platforms to support business objectives
- Oversee the development and optimization of data pipelines, and data integration solutions
- Establish and maintain data governance policies and standards to ensure data quality, security, and compliance
- Architect and manage cloud-based data solutions, using AWS or other preferred platforms
- Lead and motivate an impactful data engineering team to deliver exceptional results
- Identify, analyze, and resolve complex data-related challenges
- Collaborate closely with business collaborators to understand data requirements and translate them into technical solutions
- Stay abreast of emerging data technologies and explore opportunities for innovation
What we expect of you
- Master’s degree and 8 to 10 years of computer science and engineering preferred, other Engineering field is considered
- OR Bachelor’s degree and 10 to 14 years of computer science and engineering preferred, other Engineering field is considered
- Diploma and 14 to 18 years of in computer science and engineering preferred, other Engineering field is considered
- Demonstrated proficiency in using cloud platforms (AWS, Azure, GCP) for data engineering solutions. Strong understanding of cloud architecture principles and cost optimization strategies
- Proficient on experience in Python, PySpark, SQL. Handon experience with bid data ETL performance tuning
- Proven ability to lead and develop impactful data engineering teams
- Strong problem-solving, analytical, and critical thinking skills to address complex data challenges
Must-Have Skills
- Strong rapid prototyping skills and can quickly translate concepts into working code
- Experienced with data modeling and performance tuning for both OLAP and OLTP databases
- Experienced with Apache Spark, Apache Airflow
- Experienced with software engineering best-practices, including but not limited to version control (Git, Subversion, etc.), CI/CD (Jenkins, Maven etc.), automated unit testing, and Dev Ops
- Experienced with AWS, GCP or Azure cloud services
- Professional Certifications AWS Certified Data Engineer preferred
- Databricks Certificate preferred
- 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 manage multiple priorities successfully
- Team-oriented, with a focus on achieving team goals
- Strong presentation and public speaking skills
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
80,000 - 120,000 USD / yearly
Source: xAI estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Strong rapid prototyping skills and can quickly translate concepts into working codeintermediate
- Experienced with data modeling and performance tuning for both OLAP and OLTP databasesintermediate
- Experienced with Apache Spark, Apache Airflowintermediate
- Experienced with software engineering best-practices, including but not limited to version control (Git, Subversion, etc.), CI/CD (Jenkins, Maven etc.), automated unit testing, and Dev Opsintermediate
- Experienced with AWS, GCP or Azure cloud servicesintermediate
- Professional Certifications AWS Certified Data Engineer preferredintermediate
- Databricks Certificate preferredintermediate
- 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 manage multiple priorities successfullyintermediate
- Team-oriented, with a focus on achieving team goalsintermediate
- Strong presentation and public speaking skillsintermediate
Required Qualifications
- Master’s degree and 8 to 10 years of computer science and engineering preferred, other Engineering field is considered (experience)
- OR Bachelor’s degree and 10 to 14 years of computer science and engineering preferred, other Engineering field is considered (experience)
- Diploma and 14 to 18 years of in computer science and engineering preferred, other Engineering field is considered (experience)
- Demonstrated proficiency in using cloud platforms (AWS, Azure, GCP) for data engineering solutions. Strong understanding of cloud architecture principles and cost optimization strategies (experience)
- Proficient on experience in Python, PySpark, SQL. Handon experience with bid data ETL performance tuning (experience)
- Proven ability to lead and develop impactful data engineering teams (experience)
- Strong problem-solving, analytical, and critical thinking skills to address complex data challenges (experience)
Responsibilities
- Provide expert guidance and mentorship to the data engineering team, fostering a culture of innovation and standard methodologies
- Design, develop, and implement robust data architectures and platforms to support business objectives
- Oversee the development and optimization of data pipelines, and data integration solutions
- Establish and maintain data governance policies and standards to ensure data quality, security, and compliance
- Architect and manage cloud-based data solutions, using AWS or other preferred platforms
- Lead and motivate an impactful data engineering team to deliver exceptional results
- Identify, analyze, and resolve complex data-related challenges
- Collaborate closely with business collaborators to understand data requirements and translate them into technical solutions
- Stay abreast of emerging data technologies and explore opportunities for innovation
Benefits
- general: Competitive benefits
- general: Collaborative culture
- general: Competitive and comprehensive Total Rewards Plans that are aligned with local industry standards
Tags & Categories