IT Developer - Data Engineer

Medtronic; Hyderabad; On-site; INR 1,400,000 - 2,100,000; Full time

Job summary

Medtronic is seeking a results-driven Data Engineer with strong Databricks, Snowflake, and Python skills to design scalable ETL/ELT pipelines for enterprise analytics. You will work across AI initiatives, data governance, and cross-functional teams to deliver reliable data solutions.

Ideal candidates have 3+ years of IT experience, knowledge of cloud architectures, SQL, and data modeling, and a collaborative, fast-paced mindset in an enterprise healthcare setting.

Qualifications

• 3+ years IT experience with engineering degree.
• Strong experience with Databricks, Snowflake, Python, SQL & data modeling.
• Experience building ETL/ELT pipelines and enterprise data workflows.
• Knowledge of cloud data architectures and distributed processing.
• Familiarity with workflow orchestration, APIs and DevOps concepts.

Responsibilities

• Design and maintain scalable ETL/ELT pipelines and data workflows.
• Build data solutions using Databricks and Snowflake for analytics.
• Develop Python automation and data processing solutions.
• Collaborate with analytics, AI/ML and reporting teams.
• Ensure data quality, governance, security, and performance.

Skills

Python

SQL & Modeling

ETL/ELT

Workflow orchestration

APIs & integration

Cloud data architectures

Agile teamwork

Communication

Problem-solving

Education

Bachelor's degree in Engineering/MCA/MSc

Tools

Databricks

Snowflake

Apache Spark / PySpark

Job description

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

Results-driven Data Engineer with strong expertise in Databricks, Snowflake, Python development, and modern data engineering practices. Skilled in designing scalable ETL/ELT pipelines, workflow orchestration, data transformation, and cloud-based analytics solutions. Experienced in working with intelligent agents, automation frameworks, and data-driven architectures to support enterprise analytics and AI initiatives. Strong knowledge of SQL, distributed data processing, and performance optimization with the ability to collaborate across cross-functional teams to deliver reliable and efficient data solutions.

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

• Design, develop, and maintain scalable ETL/ELT pipelines and enterprise data workflows.
• Build and optimize data solutions using Databricks and Snowflake.
• Develop Python-based automation, integration, and data processing solutions.
• Work with structured and semi-structured data from multiple enterprise systems and APIs.
• Implement workflow orchestration, scheduling, dependency management, and monitoring solutions.
• Support real-time and batch data processing use cases.
• Collaborate with analytics, AI/ML, and reporting teams to enable data-driven decision-making.
• Ensure data quality, governance, security, and performance optimization across platforms.
• Troubleshoot production issues and improve system reliability and scalability.
• Participate in architecture discussions, code reviews, and continuous improvement initiatives.
• Contribute to innovation initiatives involving AI agents, intelligent automation, and modern data platforms.

Required Knowledge and Experience:

• 3+ years of IT experience with a bachelor’s degree in Engineering, MCA, or MSc.
• Strong experience with: Databricks Snowflake Python Programming SQL & Data Modeling
• Experience building ETL/ELT pipelines and enterprise data workflows.
• Good understanding of distributed data processing and performance optimization.
• Familiarity with workflow orchestration and scheduling concepts.
• Knowledge of APIs, automation frameworks, and integration patterns.
• Understanding of cloud-based data engineering architectures.
• Strong analytical, debugging, and problem-solving skills.
• Ability to work effectively in collaborative Agile teams.
• Strong communication and collaboration abilities.
• Self-driven and eager to learn new technologies.
• Ability to manage multiple priorities in a fast-paced environment.
• Innovative mindset with a focus on continuous improvement.
• Experience with AI agents, intelligent orchestration, or automation frameworks.
• Exposure to Apache Spark / PySpark.
• Familiarity with CI/CD and DevOps practices.
• Experience working in enterprise healthcare or regulated environments is a plus.

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).