Senior AI/Data Science Engineer

Careers that change lives start here. Medtronic is a global leader in healthcare technology with a Mission to alleviate pain, restore health, and extend life. Our 95,000 employees work across more than 150 countries to put patients first — developing innovative medical technologies that improve the lives of 72+ million patients each year. Your unique talents will help shape the future of healthcare while building a career grounded in purpose, growth, and impact.

A Day in the Life

As a Senior AI/Data Science Engineer, you will be a part of our DWAS - Data Engineering team responsible for designing, developing, deploying, monitoring, and supporting the Analytics & rebuild of legacy reports in data mart platform. In addition, you will be responsible for creating tools and automating operational tasks to integrate the data platform with external systems. This position will participate in production support rotation to ensure platform uptime.

Responsibilities may include the following and other duties may be assigned.

Work independently under limited supervisionImplement CI/CD patterns for deploying and administering the data platformSetup proactive monitoring and alertingCreate automation to enable a self-service model for developersTroubleshoot production issuesUse platform metrics to provide guidance on right-sizing infrastructureWork with IT and business partners to identify opportunities to improve existing processesMentor and guide junior engineers.

Required Knowledge and Experience:

Overall, 7-12 years of IT experience with Bachelor’s degree in computer engineering, Software Engineering, Computer Science, Electrical Engineering, or related technical field.Relevant Data Engineering Experience: Minimum experience of 6 years, or advanced degree with experience of 4 years.Ability to take business requirements and work independently to deliver solutions using industry best-practiceStrong Expertise in writing SQL Queries.Ability to analyze, reverse-engineer, and modernize logic/transformations of existing SQL stored procedures and reporting solutions into cloud-native tech stack (Glue, Python, PySpark)Core Python experience (Mandatory)Hands-on Experience on PySpark (can have prior experience of Bigdata Technologies like HDFS, Hive)Minimum 1 year of experience in AWS and AWS native tools S3, Glue, Lambda, EMR , Athena, Step FunctionsHands-on experience using Job Orchestration tools Preferably AWS Step Functions, Airflow / OozieSource Control systems Git/GitHub experienceStrong problem-solving skillsExperience automating routine tasksStrong written and verbal communication & presentation skillsStrong security and data-privacy mindset Nice to have:Experience migrating legacy SQL, SSRS Reports to modern tech stack with ETL/ELT transformationsWorking experience in CI/CD process and tools like Azure DevOpsWorking Knowledge on IaC tools like TerraformAWS certificationsPrevious healthcare industry experience

Physical Job Requirements

The above statements are intended to describe the general nature and level of work being performed by employees assigned to this position, but they are not an exhaustive list of all the required responsibilities and skills of this position.

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Apply only through official Medtronic channels. All legitimate Medtronic recruiting communications come from approved Medtronic platforms and official @medtronic.com email addresses.

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If you have any questions, concerns regarding the authenticity of a communication alleged to have been made by or on behalf of Medtronic, please contact us immediately at AskHR@medtronic.com.

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Benefits & Compensation

Medtronic offers a competitive Salary and flexible Benefits Package

A commitment to our employees lives at the core of our values. We recognize their contributions. They share in the success they help to create. We offer a wide range of benefits, resources, and competitive compensation plans designed to support you at every career and life stage.

This position is eligible for a short-term incentive called the Medtronic Incentive Plan (MIP).