Medtronic Cardiac and Vascular
Location
Secunderabad | India
Job description
Careers that Change Lives
At Medtronic, we contribute to human welfare and wellbeing through biomedical engineering. Everyday we're involved in meaningful work to change people's lives and health for the better. Now is your chance to join a talented team of engineers focused on providing the following services: a software API Gateway and data mesh software development pipelines and frameworks Kubernetes and container services and technologies full-stack observability services and global source code and binary code services to our research scientist, medical device manufacturing, regulatory, IT, marketing, and sales teams across our company.
In this role, you will play a critical part in designing, implementing, and optimizing our data architecture and data engineering needs relating to our API Gateway and data mesh service. Your responsibilities will focus in four areas where integration and interoperability with our API Gateway data mesh are most important: 1) interoperability with our data lake 2) interoperability with some remaining independent data repositories in our business units 3) interoperability with data used by our various product development teams across Medtronic who need to share and integrate their data from other parts of the business and 4) interoperability with application-to-application communication through the Gateway. This role requires a deep understanding of both software and data engineering principles, as well as the ability to architect scalable and efficient data integration and interoperability solutions.
A Day in the Life. Collaborate with cross-functional teams to understand business requirements, data integration complexities, and security access needs and translate these into a scalable, secure, and performant data mesh architecture and service.
. Develop and maintain a comprehensive understanding and evolving data map of data sources, formats, and integration points within the organization.
. Work closely and effectively with the MDM, the data lake, and the data platform teams to develop the most efficient, performant, secure, and scalable API-driven data mesh for Medtronic's diverse and patient-critical business needs.
. Actively participate in prototypes, spikes, POCs and rapid development and full production services with both designs and hands-on implementation of data engineering solutions, including data pipelines, ETL processes, and data integration mechanisms.
. Utilize a variety of open source, cloud-based, and industry-standard tools and technologies for data processing, storage, and retrieval ensuring optimal performan ce and reliability.
. Design and implement data models that support both transactional and analytical needs.Optimize these data models for performance and scalability, considering both current and future requirements.
. Effectively communicate complex technical concepts to non-technical stakeholders.
. Identify and address performance bottlenecks in data pipelines, queries, and API interfaces.
. Help design, implement, and enforce data governance policies to ensure the integrity, security, and privacy of data.
. Be an integral member of the core DevSecOps/Shared Services product team and work with SREs to help deploy and operate our services 24x7x365 globally
Must Have: Minimum Requirements
Doctorate degree OR Master's degree
OR
Bachelor's degree and 2-5 years of related experience
OR
Associate degree and 6-9 years of related experience
OR
High School Diploma and 10+ years of related experience
Nice to Have. Proficiency in data engineering technologies such as Snowflake, Apache Kafka, SQL, Snowpipe, and data warehousing solutions.
. Familiarity with two or more database technologies (Snowflake, Spark, Hadoop, Mongo, Oracle, etc.).
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