Principal Data Engineer
Amgen
Principal Data Engineer
Job Description
Career CategoryInformation SystemsJob DescriptionABOUT AMGEN Amgen harnesses the best of biology and technology to fight the world’s toughest diseases, and make people’s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what’s known today. ABOUT THE ROLE Role Description: We are seeking a seasoned Principal Data Engineer to lead the design, development, and implementation of our data strategy. The ideal candidate possesses a deep understanding of data engineering principles, coupled with strong leadership and problem-solving skills. As a Principal Data Engineer, you will architect and oversee the development of robust data platforms, while mentoring and guiding a team of data engineers. Roles & Responsibilities: Possesses strong rapid prototyping skills and can quickly translate concepts into working code. Provide expert guidance and mentorship to the data engineering team, fostering a culture of innovation and best practices. 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, leveraging AWS or other preferred platforms. Lead and motivate a high-performing data engineering team to deliver exceptional results. Identify, analyze, and resolve complex data-related challenges. Collaborate closely with business stakeholders to understand data requirements and translate them into technical solutions. Stay abreast of emerging data technologies and explore opportunities for innovation. Functional Skills: Demonstrated proficiency in leveraging 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 high-performing data engineering teams. Strong problem-solving, analytical, and critical thinking skills to address complex data challenges. Good-to-Have Skills: 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 Education and Professional Certifications Bachelor’s degree and 12 to 17 years' experience AWS Certified Data Engineer preferred Databricks Certificate preferred Soft Skills: 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. EQUAL OPPORTUNITY STATEMENT Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. .
Locations
- India - Hyderabad
Preferred Qualifications
- Experienced with data modeling and performance tuning for both OLAP and OLTP databases (experience)
- Experienced with data modeling and performance tuning for both OLAP and OLTP databases (experience)
- Experienced with Apache Spark, Apache Airflow (experience)
- Experienced with Apache Spark, Apache Airflow (experience)
- 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 (experience)
- 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 (experience)
- Experienced with AWS, GCP or Azure cloud services (experience)
- Experienced with AWS, GCP or Azure cloud services (experience)
- Education and Professional Certifications (certification)
- Bachelor’s degree and 12 to 17 years' experience (experience, 17 years)
- Bachelor’s degree and 12 to 17 years' experience (experience, 17 years)
- AWS Certified Data Engineer preferred (certification)
- Databricks Certificate preferred (experience)
- Excellent analytical and troubleshooting skills. (experience)
- Excellent analytical and troubleshooting skills. (experience)
- Strong verbal and written communication skills (experience)
- Strong verbal and written communication skills (experience)
- Ability to work effectively with global, virtual teams (experience)
- Ability to work effectively with global, virtual teams (experience)
- High degree of initiative and self-motivation. (degree)
- High degree of initiative and self-motivation. (degree)
- Ability to manage multiple priorities successfully. (experience)
- Ability to manage multiple priorities successfully. (experience)
- Team-oriented, with a focus on achieving team goals (experience)
- Team-oriented, with a focus on achieving team goals (experience)
- Strong presentation and public speaking skills. (experience)
- Strong presentation and public speaking skills. (experience)
Responsibilities
- Possesses strong rapid prototyping skills and can quickly translate concepts into working code.
- Possesses strong rapid prototyping skills and can quickly translate concepts into working code.
- Provide expert guidance and mentorship to the data engineering team, fostering a culture of innovation and best practices.
- Provide expert guidance and mentorship to the data engineering team, fostering a culture of innovation and best practices.
- Design, develop, and implement robust data architectures and platforms to support business objectives.
- 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.
- 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.
- Establish and maintain data governance policies and standards to ensure data quality, security, and compliance.
- Architect and manage cloud-based data solutions, leveraging AWS or other preferred platforms.
- Architect and manage cloud-based data solutions, leveraging AWS or other preferred platforms.
- Lead and motivate a high-performing data engineering team to deliver exceptional results.
- Lead and motivate a high-performing data engineering team to deliver exceptional results.
- Identify, analyze, and resolve complex data-related challenges.
- Identify, analyze, and resolve complex data-related challenges.
- Collaborate closely with business stakeholders to understand data requirements and translate them into technical solutions.
- Collaborate closely with business stakeholders to understand data requirements and translate them into technical solutions.
- Stay abreast of emerging data technologies and explore opportunities for innovation.
- Stay abreast of emerging data technologies and explore opportunities for innovation.
- Functional Skills:
- Demonstrated proficiency in leveraging cloud platforms (AWS, Azure, GCP) for data engineering solutions. Strong understanding of cloud architecture principles and cost optimization strategies.
- Demonstrated proficiency in leveraging 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.
- Proficient on experience in Python, PySpark, SQL. Handon experience with bid data ETL performance tuning.
- Proven ability to lead and develop high-performing data engineering teams.
- Proven ability to lead and develop high-performing data engineering teams.
- Strong problem-solving, analytical, and critical thinking skills to address complex data challenges.
- Strong problem-solving, analytical, and critical thinking skills to address complex data challenges.
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