Careers that Change Lives

We are looking for a savvy Data Engineer to join our growing team of analytics experts. The hire will be responsible for building cloud-based data platforms and pipelines using Snowflake as the primary data platform, optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. The Data Engineer will support our data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams, systems, and products. The right candidate will be excited by the prospect of actively participating on projects where our team is re-designing our company’s data architecture, in order to support our next generation of products and data initiatives.

A Day in the Life

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

• Build and maintain optimal data pipeline architectures pulling data from multiple data sources/systems, landing it on our Snowflake-based data platform and transforming it for analytics consumption.

• Assemble large and complex data sets using data-transformation technologies that meet functional / non-functional business requirements.

• Identify, design, and implement internal process improvements: automating manual data processes, optimizing data delivery, and re-designing the data platform for greater scalability.

• Build data pipelines required for optimal extraction, transformation, and loading of data from multiple sources using a variety of data platforms and data technologies within the company, including but not limited to: Snowflake, Informatica Cloud, DBT, Coalesce, SAP BW, SAP BO, SalesForce.com and S3 buckets.

• Work with a team of Data Analysts, Data Scientists and Data Architects to execute data analytics projects across multiple regions and businesses.

Must Have: Minimum Requirements

• Bachelor’s degree in computer science, Systems Engineering or related field.

• 2 years of proven work experience as a Data Engineer (cloud preferred).

• Fluent in English level.

• Experience building and optimizing data platforms and pipelines using cloud-based data platforms.

• Proven experience building data transformation and data curation processes, including data-quality validation.

• Advanced knowledge and experience working with SQL-based relational databases, advanced query authoring (SQL) as well as working familiarity with a variety of databases.

• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.

• Strong analysis skills related to working with structured and unstructured datasets.

• A successful history of manipulating, processing and extracting value from large disconnected datasets.

• Good team player with strong organizational skills.

• Experience supporting and working with cross-functional teams in a dynamic environment.

• Experience with AWS cloud services: EC2, EMR, RDS, Redshift

• Experience with stream-processing systems: Storm, Spark-Streaming, etc.

• Experience with object-oriented/object function scripting languages for building data transformation and data quality testing: Python, Java, C++, Scala, etc.

• Excellent communication and collaboration skills, with the ability to effectively communicate complex technical concepts to both technical and non-technical audiences.

• Proficiency in at least one programming language (Python preferred)

• You like to experiment with new technologies and share your knowledge with others in inspiring presentations.

• You are proactive and keep a constant communication with the team members and the business partners.

• You have experience with CI/CD tooling: Azure DevOps, Git

• You have Experience with Test Automation.

Nice to Have

• Snowflake work experience is a plus.

• Experience with big data tools like Hadoop, Spark, Kafka is a big plus.

• Experience in Healthcare or Medical Devices industries is a big plus.

• Experience using Informatica Cloud and/or Informatica Power Center for building data pipelines is also a plus.

About Medtronic

Together, we can change healthcare worldwide. At Medtronic, we push the limits of what technology, therapies and services can do to help alleviate pain, restore health and extend life. We challenge ourselves and each other to make tomorrow better than yesterday. It is what makes this an exciting and rewarding place to be.

We want to accelerate and advance our ability to create meaningful innovations - but we will only succeed with the right people on our team. Let’s work together to address universal healthcare needs and improve patients’ lives. Help us shape the future.

Physical Job Requirements

The physical demands described within the Responsibilities section of this job description are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. For Office Roles: While performing the duties of this job, the employee is regularly required to be independently mobile. The employee is also required to interact with a computer, and communicate with peers and co-workers. Contact your manager or local HR to understand the Work Conditions and Physical requirements that may be specific to each role. (ADA-United States of America)

It is the policy of Medtronic to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, Medtronic will provide reasonable accommodations for qualified individuals with disabilities.