Assoc. Data Engineer - R&D Precision Medicine Team

Roles & Responsibilities

• Design and build scalable enterprise analytics solutions using Databricks, Power BI, and other modern data management tools.
• Leverage data virtualization, ETL, and semantic layers to balance need for unification, performance, and data transformation with goal to reduce data proliferation
• Break down features into work that aligns with the architectural direction runway
• Participate hands-on in pilots and proofs-of-concept for new patterns
• Create robust documentation from data analysis and profiling, and proposed designs and data logic
• Develop advanced sql queries to profile, and unify data
• Develop data processing code in sql, along with semantic views to prepare data for reporting
• Develop PowerBI Models and reporting packages
• Design robust data models, and processing layers, that support both analytical processing and operational reporting needs.
• Design and develop solutions based on best practices for data governance, security, and compliance within Databricks and Power BI environments.
• Ensure the integration of data systems with other enterprise applications, creating seamless data flows across platforms.
• Develop and maintain Power BI solutions, ensuring data models and reports are optimized for performance and scalability.
• Collaborate with partners to define data requirements, functional specifications, and project goals.
• Continuously evaluate and adopt new technologies and methodologies to enhance the architecture and performance of data solutions.

What we expect of you

• We are all different, yet we all use our unique contributions to serve patients. The professional we seek is someone with these qualifications.

Basic Qualifications:

• Masters degree with 1 to 3 years of experience in Data Engineering OR
• Bachelors degree with 1 to 3 years of experience in Data Engineering

Must-HaveSkills:

• Minimum of 1 year of hands-on experience with BI solutions (Preferrable Power BI or Business Objects) including report development, dashboard creation, and optimization.
• Minimum of 1 year 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.
• Experience using cloud platforms (AWS), data lakes, and data warehouses.
• Working knowledge of ETL processes, data pipelines, and integration technologies.
• Good communication and collaboration skills to work with cross-functional teams and senior leadership.
• Ability to assess business needs and design solutions that align with organizational goals.
• Exceptional hands-on capabilities with data profiling and data anlysis