Mgr Data Engineering

Career Category

Information Systems

Job Description

ABOUT 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

We are seeking a seasoned Senior Data Engineer to drive the development and implementation of our data strategy. The ideal candidate possesses a strong blend of technical expertise and data-driven problem-solving skills. As a Senior Data Engineer, you will play a crucial role in designing, building, and optimizing our data pipelines and platforms while mentoring junior engineers

• Roles & Responsibilities: - Contribute to the design, development, and implementation of automations to monitor our data and cloud platforms for reliability, cost, and maintenance.

• Take ownership of platform management, managing scope, timelines, and risks.
• Ensure data quality and integrity through rigorous testing and monitoring.
• Leverage cloud platforms (AWS preferred) to build scalable and efficient data solutions.
• Work closely with data analysts, data scientists, and business stakeholders to understand data requirements.
• Identify and resolve complex data-related challenges.
• Adhere to data engineering best practices and standards.
• Stay up-to-date with the latest data technologies and trends.
• Execute POCs on new technologies to advance the capabilities and deliveries in our data strategy.

Basic Qualifications

• Doctorate degree / Master's degree / Bachelor's degree and 8 to 13 years [in Computer Science

• Functional Skills: Must-Have Skills:

• Demonstrated hands-on experience with cloud platforms (AWS, Azure, GCP) and the ability to architect cost-effective and scalable data solutions.
• Proficiency in Python, PySpark, SQL. Hands-on experience with big data ETL performance tuning.
• Strong analytical and problem-solving skills to address complex data challenges.
• Manage and administered cloud-based environments such as (AWS, Azure, GCP) and data platforms (Databricks, Snowflake)
• Experiencing working with troubleshooting cloud environment issues (networking, virtual machines)
• Effective communication and interpersonal skills to collaborate with cross-functional teams.

• Good-to-Have Skills:

• Experienced with data modeling and performance tuning for both OLAP and OLTP databases
• Experience with administering lifecycle and platform management policies on usage of cloud resources
• Experienced working 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

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 an accommodation.

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• Doctorate degree / Master's degree / Bachelor's degree and 8 to 13 years [in Computer Science
• Demonstrated hands-on experience with cloud platforms (AWS, Azure, GCP) and the ability to architect cost-effective and scalable data solutions.
• Proficiency in Python, PySpark, SQL. Hands-on experience with big data ETL performance tuning.
• Strong analytical and problem-solving skills to address complex data challenges.
• Manage and administered cloud-based environments such as (AWS, Azure, GCP) and data platforms (Databricks, Snowflake)
• Experiencing working with troubleshooting cloud environment issues (networking, virtual machines)
• Effective communication and interpersonal skills to collaborate with cross-functional teams.
• Experienced with data modeling and performance tuning for both OLAP and OLTP databases
• Experience with administering lifecycle and platform management policies on usage of cloud resources
• Experienced working 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