Data Engineer - R&D Precision Medicine

Data Engineer - R&D Precision Medicine

What you will do

Let's do this. Let's change the world. In this vital role, you will be responsible for:

• End-to-end development of an enterprise analytics and data mastering solution using Databricks and Power BI
• Creating scalable, reliable, and impactful enterprise solutions that support research cohort-building and advanced research pipeline
• Building and surfacing large unified repositories of human data based on integrations from multiple repositories and solutions
• Collaborating closely with key customers, product team members, and related IT teams to design and implement data models, integrate data, and ensure best practices for data governance and security
• Designing and building scalable enterprise analytics solutions using Databricks, Power BI, and other modern data tools
• Leveraging data virtualization, ETL, and semantic layers to balance unification, performance, and data transformation while reducing data proliferation
• Breaking down features into work that aligns with the architectural direction runway
• Participating hands-on in pilots and proofs-of-concept for new patterns
• Creating robust documentation from data analysis and profiling, and proposed designs and data logic
• Developing advanced SQL queries to profile and unify data
• Developing data processing code in SQL, along with semantic views to prepare data for reporting
• Developing PowerBI models and reporting packages
• Designing robust data models and processing layers that support both analytical processing and operational reporting needs
• Designing and developing solutions based on best practices for data governance, security, and compliance within Databricks and Power BI environments
• Ensuring the integration of data systems with other enterprise applications to create seamless data flows across platforms
• Developing and maintaining Power BI solutions, optimizing data models and reports for performance and scalability
• Collaborating with key customers to define data requirements, functional specifications, and project goals
• Continuously evaluating and adopting new technologies and methodologies to enhance the architecture and performance of data solutions

What we expect of you

The R&D Data Catalyst Team is responsible for:

• Building Data Searching, Cohort Building, and Knowledge Management tools for scientific visibility into human datasets, projects, study histories, and scientific findings
• Supporting Amgen's goal to accelerate discovery and speed to market for precision medications

Basic Qualifications

• Master's degree: 1 to 3 years of Data Engineering experience
• Bachelor's degree: 3 to 5 years of Data Engineering experience
• Diploma: 7 to 9 years of Data Engineering experience

Must-Have Skills

• Minimum of 3 years of hands-on experience with BI solutions (Preferably Power BI or Business Objects) including report development, dashboard creation, and optimization
• Minimum of 3 years of hands-on experience building Change-data-capture (CDC) ETL pipelines, data warehouse design and build, and enterprise-level data management
• Hands-on experience with Databricks, including data engineering, optimization, and analytics workloads
• Deep understanding of Power BI, including model design, DAX, and Power Query
• Proven experience designing and implementing data mastering solutions and data governance frameworks
• Expertise in cloud platforms (AWS), data lakes, and data warehouses
• Strong knowledge of ETL processes, data pipelines, and integration technologies
• Good communication and collaboration skills for working with cross-functional teams and senior leadership
• Ability to assess business needs and design solutions that align with organizational goals
• Strong hands-on capabilities with data profiling, data transformation, data mastering
• Success in mentoring and training team members

Good-to-Have Skills

• Experience in developing differentiated and deliverable solutions
• Experience with human data, ideally human healthcare data
• Familiarity with laboratory testing, patient data from clinical care, HL7, FHIR, and clinical trial data management

Professional Certifications

• ITIL Foundation or other relevant certifications (preferred)
• SAFe Agile Practitioner (6.0)
• Microsoft Certified Data Analyst Associate (Power BI) or related certification
• Databricks Certified Professional or similar certification

Soft Skills

• Excellent analytical and troubleshooting skills
• Deep intellectual curiosity
• High degree of initiative and self-motivation
• Strong verbal and written communication skills, including presenting complex technical/business topics to varied audiences
• Confidence as a technical leader
• Ability to work effectively with global, remote teams
• Ability to handle multiple priorities successfully
• Team-oriented, with a focus on achieving team goals
• Strong problem-solving and analytical skills
• Ability to learn quickly and synthesize complex information from diverse sources