Analyst, Data Engineering at Cardinal Health | Freshers & Entry-Level Jobs in Bangalore (0–2 Years)
Cardinal Health is hiring for the position of Analyst, Data Engineering in Bangalore, Karnataka. This is an excellent opportunity for fresh graduates and early-career professionals with 0–2 years of experience who want to build a career in Data Engineering, Data Analytics, and Business Intelligence.
As part of Cardinal Health’s Data & Analytics team, you will contribute to designing, managing, and optimizing data platforms that help drive business decisions. If you’re passionate about data, cloud technologies, and analytics, this role offers a strong foundation to grow your career in one of the world’s leading healthcare companies.
Job Overview
| Particular | Details |
|---|---|
| Company | Cardinal Health |
| Job Role | Analyst, Data Engineering |
| Job ID | 20182482 |
| Location | Bangalore, Karnataka |
| Job Type | Full-Time |
| Experience | 0–2 Years |
| Qualification | Bachelor’s Degree (Preferred) |
| Department | Data Engineering |
| Industry | Healthcare Technology & Data Analytics |
About Cardinal Health
Cardinal Health is a global healthcare services and products company dedicated to improving the cost-effectiveness of healthcare. The company provides customized solutions for hospitals, pharmacies, laboratories, and healthcare providers worldwide.
Operating in more than 30 countries, Cardinal Health focuses on healthcare supply chain management, pharmaceutical distribution, medical products, and data-driven healthcare solutions. The company continues to invest in digital transformation, cloud technologies, and advanced analytics to improve patient care and business efficiency.
About the Analyst, Data Engineering Role
The Analyst, Data Engineering role is part of the Data & Analytics organization, which manages the complete analytics lifecycle—from collecting and integrating raw data to generating valuable business insights.
As a Data Engineering Analyst, you will help make raw data accessible, reliable, and usable by developing and maintaining modern data platforms that support analytics, reporting, and business intelligence solutions.
This role is ideal for candidates looking to start their careers in Data Engineering, Cloud Data Platforms, and Big Data Technologies.
Key Responsibilities
Selected candidates will be responsible for:
- Supporting data acquisition and integration processes.
- Building and maintaining data engineering pipelines.
- Assisting in developing reporting and business intelligence solutions.
- Working with structured and unstructured datasets.
- Ensuring data quality, consistency, and accessibility.
- Following established engineering processes and technical standards.
- Troubleshooting routine technical issues.
- Collaborating with senior engineers and analytics teams.
- Learning modern cloud-based data engineering technologies.
- Supporting enterprise-wide data management initiatives.
Eligibility Criteria
Candidates should have:
- Bachelor’s Degree in Computer Science, Information Technology, Data Science, Engineering, or a related field (preferred).
- 0–2 years of relevant experience.
- Basic understanding of Data Engineering concepts.
- Interest in Analytics and Data Platforms.
- Strong willingness to learn new technologies.
Required Skills
Candidates should possess knowledge of:
- Data Engineering Fundamentals
- Data Integration
- Data Acquisition
- Business Intelligence
- Data Analytics
- SQL
- Reporting Tools
- Data Platforms
- Problem Solving
- Analytical Thinking
Preferred Skills
The company also prefers candidates with exposure to:
- Databricks
- Cloud Data Platforms
- Data Warehousing
- ETL Concepts
- Data Modeling
- Big Data Technologies
- Reporting & Dashboard Development
Why These Skills Matter
Data Engineering
Data engineers build the infrastructure that powers business analytics and AI applications.
SQL
SQL is essential for querying, managing, and analyzing enterprise data.
Data Integration
Organizations collect data from multiple systems, making integration a critical business function.
Business Intelligence
BI enables organizations to make informed decisions using dashboards and reports.
Databricks
Databricks is one of the industry’s leading platforms for big data processing, analytics, and machine learning.
Data Warehousing
Enterprise data warehouses centralize business information for reporting and analytics.
Analytical Thinking
Strong analytical skills help engineers identify trends, troubleshoot issues, and improve business outcomes.
What You’ll Learn
Working at Cardinal Health will provide experience in:
- Enterprise Data Engineering
- Data Platform Management
- Cloud-Based Analytics
- Data Governance
- Business Intelligence Solutions
- Data Quality Management
- Enterprise Reporting
- Big Data Technologies
- Modern Analytics Workflows
- Healthcare Technology Systems
Career Growth Opportunities
This role can lead to positions such as:
- Data Engineer
- ETL Developer
- Business Intelligence Developer
- Data Analyst
- Cloud Data Engineer
- Analytics Engineer
- Big Data Engineer
- Data Platform Engineer
- Machine Learning Data Engineer
- Senior Data Engineer
Work Environment
Cardinal Health provides an inclusive and collaborative workplace where employees are encouraged to learn and grow. The company welcomes applications from:
- Fresh Graduates
- Entry-Level Professionals
- Career Returnees
- People with Disabilities
- Veterans
- Candidates without traditional college degrees who possess relevant skills and experience
Why Join Cardinal Health?
Joining Cardinal Health offers several advantages:
- Global healthcare technology company
- Strong learning and development opportunities
- Exposure to enterprise-scale data platforms
- Opportunity to work on modern analytics solutions
- Inclusive and diverse workplace culture
- Career growth in Data Engineering and Analytics
- Real-world business impact through healthcare innovation
Final Thoughts
The Cardinal Health Analyst, Data Engineering role is an excellent opportunity for fresh graduates and professionals with up to two years of experience who want to begin a career in Data Engineering and Analytics. With exposure to enterprise data platforms, cloud technologies, reporting systems, and modern data engineering practices, this position provides an ideal foundation for long-term career growth in one of the world’s leading healthcare organizations.
If you’re passionate about data, analytics, and building scalable data solutions, this role is worth applying for.