At Medtronic you can begin a life-long career of exploration and innovation, while helping champion healthcare access and equity for all. You’ll lead with purpose, breaking down barriers to innovation in a more connected, compassionate world.

A Day in the Life

We’re a mission-driven leader in medical technology and solutions with a legacy of integrity and innovation, join our new Minimed India Hub as Digital Engineer. We are working to improve how healthcare addresses the needs of more people, in more ways and in more places around the world. As a PySpark Data Engineer, you will be responsible for designing, developing, and maintaining data pipelines using PySpark. You will work closely with data scientists, analysts, and other stakeholders to ensure the efficient processing and analysis of large datasets, while handling complex transformations and aggregations.

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

• Design, develop, and maintain scalable and efficient ETL pipelines using PySpark.

• Work with structured and unstructured data from various sources.

• Optimize and tune PySpark applications for performance and scalability.

• Collaborate with data scientists and analysts to understand data requirements, review Business Requirement documents and deliver high-quality datasets.

• Implement data quality checks and ensure data integrity.

• Monitor and troubleshoot data pipeline issues and ensure timely resolution.

• Document technical specifications and maintain comprehensive documentation for data pipelines.

• Stay up to date with the latest trends and technologies in big data and distributed computing.

Required Knowledge and Experience:

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

• 4-5 years of experience in data engineering, with a focus on PySpark.

• Proficiency in Python and Spark, with strong coding and debugging skills.

• Strong knowledge of SQL and experience with relational databases (e.g., PostgreSQL, MySQL, SQL Server).

• Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP).

• Experience with data warehousing solutions like Redshift, Snowflake, Databricks or Google BigQuery.

• Familiarity with data lake architectures and data storage solutions.

• Experience with big data technologies such as Hadoop, Hive, and Kafka.

• Excellent problem-solving skills and the ability to troubleshoot complex issues.

• Strong communication and collaboration skills, with the ability to work effectively in a team environment.

Preferred Skills:

• Experience with Databricks.

• Experience with orchestration tools like Apache Airflow or AWS Step Functions.

• Knowledge of machine learning workflows and experience working with data scientists.

• Understanding of data security and governance best practices.

• Familiarity with streaming data platforms and real-time data processing.

• Knowledge of CI/CD pipelines and version control systems (e.g., Git).

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.

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).

About Medtronic

We lead global healthcare technology and boldly attack the most challenging health problems facing humanity by searching out and finding solutions.
Our Mission — to alleviate pain, restore health, and extend life — unites a global team of 95,000+ passionate people.
We are engineers at heart— putting ambitious ideas to work to generate real solutions for real people. From the R&D lab, to the factory floor, to the conference room, every one of us experiments, creates, builds, improves and solves. We have the talent, diverse perspectives, and guts to engineer the extraordinary.