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 Role Description The role is responsible for designing building maintaining analyzing and interpreting data to provide actionable insights that drive business decisions This role involves working with large datasets developing reports supporting and executing data governance initiatives and visualizing data to ensure data is accessible reliable and efficiently managed The ideal candidate has strong technical skills experience with big data technologies and a deep understanding of data architecture and ETL processes Roles Responsibilities Design develop and maintain data solutions for data generation collection and processing Be a key team member that assists in design and development of the data pipeline Standup and enhance reporting capabilities through PowerBI or similar tools 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 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 Basic Qualifications and Experience Master s Bachelor s degree and 5 to 9 years of Computer Science IT or related field experience Functional Skills Must-Have Skills Proficiency in Python PySpark and Scala for data processing and ETL Extract Transform Load workflows with hands-on experience in using Databricks for building ETL pipelines and handling big data processing Hands-on experience with Tableau Power BI or similar tools for creating interactive business dashboards Experience with data warehousing platforms such as Amazon Redshift or Snowflake Strong knowledge of SQL and experience with relational e g PostgreSQL MySQL databases Familiarity with big data frameworks like Apache Hadoop Spark and Kafka for handling large datasets Experienced with software engineering best-practices including but not limited to version control GitLab Subversion etc CI CD Jenkins GITLab etc automated unit testing and Dev Ops Good-to-Have Skills Experience with cloud platforms such as AWS particularly in data services e g EKS EC2 S3 EMR RDS Redshift Spectrum Lambda Glue Athena Experience with Anaplan platform including building managing and optimizing models and workflows including scalable data integrations Understanding of machine learning pipelines and frameworks for ML AI models Qualified Certifications AWS Certified Data Engineer preferred Databricks Certified preferred Soft Skills 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 EQUAL PROSPECT 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