Data Engineer - R&D Precision Medicine

1 - 9 years

0 Lacs

Posted:1 week ago| Platform: Shine logo

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On-site

Job Type

Full Time

Job Description

Role Overview: Join Amgen's mission to serve patients by becoming a Data Engineer in the R&D Precision Medicine team. Your role will involve developing an enterprise analytics and data mastering solution using Databricks and Power BI. You will play a crucial part in creating scalable, reliable, and impactful solutions for research cohort-building and advanced research pipelines. Key Responsibilities: - Design and build scalable enterprise analytics solutions using Databricks, Power BI, and other modern data tools. - Utilize data virtualization, ETL, and semantic layers to balance the need for unification, performance, and data transformation. - Break down features aligning with the architectural direction runway. - Participate in pilots and proofs-of-concept for new patterns. - Develop advanced SQL queries to profile and unify data. - Create robust documentation from data analysis, proposed designs, and data logic. - Develop Power BI models and reporting packages. - Design robust data models and processing layers to support analytical processing and operational reporting needs. - Ensure the integration of data systems with other enterprise applications for seamless data flows. - Continuously evaluate and adopt new technologies and methodologies to enhance data solutions. Qualifications Required: - Masters degree and 1 to 3 years of Data Engineering experience OR - Bachelors degree and 3 to 5 years of Data Engineering experience OR - Diploma and 7 to 9 years of Data Engineering experience - Minimum of 3 years of hands-on experience with BI solutions, preferably Power BI or Business Objects. - Hands-on experience with Databricks, data engineering, and analytics workloads. - Deep understanding of Power BI, including model design, DAX, and Power Query. - Expertise in cloud platforms, data lakes, and data warehouses. - Strong 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 aligning with organizational goals.,

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