Job Description
We are a technology-led healthcare solutions provider. We are driven by our purpose to enable healthcare organizations to be future-ready. We offer accelerated, global growth opportunities for talent that’s bold, industrious, and nimble. With Indegene, you gain a unique career experience that celebrates entrepreneurship and is guided by passion, innovation, collaboration, and empathy. To explore exciting opportunities at the convergence of healthcare and technology, check out www.careers.indegene.com Looking to jump-start your career? We understand how important the first few years of your career are, which create the foundation of your entire professional journey. At Indegene, we promise you a differentiated career experience. You will not only work at the exciting intersection of healthcare and technology but also will be mentored by some of the most brilliant minds in the industry. We are offering a global fast-track career where you can grow along with Indegene’s high-speed growth. We are purpose-driven. We enable healthcare organizations to be future ready and our customer obsession is our driving force. We ensure that our customers achieve what they truly want. We are bold in our actions, nimble in our decision-making, and industrious in the way we work.
Job Title: Sr. Data Engineer
Job Description: We are a technology-led healthcare solutions provider focused on enabling healthcare organizations to be future-ready. At Indegene, you will work at the intersection of healthcare, data, and technology, contributing to impactful analytics solutions that drive business and patient outcomes.
We are looking for a Data Engineer with strong analytical capabilities and hands-on experience in data processing, analytics, and healthcare datasets. The ideal candidate will support the development of scalable data pipelines, perform data analysis, and collaborate closely with data science, analytics, and business teams.
Role Overview
The Data Engineer will be responsible for designing, developing, and maintaining data pipelines and analytical datasets to support business intelligence and advanced analytics initiatives. This role requires proficiency in Python, SQL, and basic PySpark, along with hands-on experience working with healthcare and pharmaceutical datasets.
Must Have
Responsibilities
• Design, develop, and maintain data pipelines for structured and unstructured datasets
• Perform data extraction, transformation, and loading (ETL) using Python, SQL, and PySpark
• Work with large-scale healthcare datasets to generate actionable insights
• Build and optimize queries for data analysis and reporting
• Collaborate with data scientists and analysts to prepare datasets for machine learning models
• Use tools such as Dataiku, Jupyter Notebook, and VS Code for data development and experimentation
• Develop dashboards and visualizations using Power BI and Excel for business stakeholders
• Ensure data quality, consistency, and integrity through validation and testing
• Support deployment of analytical solutions using tools like Streamlit
• Document data processes, workflows, and datasets for governance and usability
Must Have
• 4+ years of experience in data engineering, data analytics, or related roles
• Strong proficiency in Python, PySpark and SQL
• Experience with tools: Dataiku, Jupyter Notebook, VS Code
• Familiarity with Power BI, Excel, and PowerPoint for reporting and visualization
• Strong understanding of data processing, ETL concepts, and data pipelines
• Good analytical and problem-solving skills
• Strong communication skills and ability to work with cross-functional teams
Domain Expertise
• US Commercial Healthcare Analytics
• Omnichannel Marketing Analytics
• Pharmaceutical Supply Chain Analytics
• Patient-level Data Analysis
• Claims Data Analytics
Datasets & Platforms Experience (Preferred)
• IQVIA (LAAD, DDD, Xponent)
• Symphony
• Veeva
• Komodo
• MMIT
• CMI
Good to have
Machine Learning & Analytical Exposure (Good to Have)
• Experience with classification models such as Random Forest and XGBoost
• Understanding of basic machine learning workflows
• Exposure to optimization techniques (e.g., Convex Optimization)
Education
Bachelor’s degree in computer science, Engineering, Information Systems, or related field
Nice to Have
• Exposure to healthcare/pharma data ecosystems
• Experience in building lightweight applications using Streamlit
• Understanding of data-driven marketing analytics