Cardinal Health is Hiring Analyst, Data Engineering | Bengaluru | Freshers & Early Career Professionals Can Apply

Job Description

Cardinal Health is hiring Analyst, Data Engineering for its Bengaluru office. This opportunity is ideal for fresh graduates and early-career professionals who are passionate about Data Engineering, Data Analytics, Databricks, Data Platforms, Business Intelligence, and modern data technologies.

As an Analyst, Data Engineering, you will support the design, integration, and management of enterprise data platforms while helping transform raw data into meaningful insights that drive business decisions and operational excellence.

𝐂𝐨𝐦𝐩𝐚𝐧𝐲: Cardinal Health
𝐑𝐨𝐥𝐞: Analyst, Data Engineering
𝐋𝐨𝐜𝐚𝐭𝐢𝐨𝐧: Bengaluru, Karnataka
𝐖𝐨𝐫𝐤 𝐌𝐨𝐝𝐞: On-site
𝐉𝐨𝐛 𝐓𝐲𝐩𝐞: Full-Time
𝐄𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞: 0–2 Years

𝐀𝐛𝐨𝐮𝐭 𝐂𝐚𝐫𝐝𝐢𝐧𝐚𝐥 𝐇𝐞𝐚𝐥𝐭𝐡

Cardinal Health is a global healthcare services and products company that improves the cost-effectiveness of healthcare. The company provides innovative solutions across pharmaceutical distribution, medical products, healthcare data, and advanced analytics, helping healthcare providers deliver better patient outcomes worldwide.

𝐉𝐨𝐛 𝐎𝐯𝐞𝐫𝐯𝐢𝐞𝐰

As an Analyst, Data Engineering, you will support the development and maintenance of enterprise data platforms, assist with data acquisition and integration, and help ensure data is accessible, reliable, and ready for analytics. You will work with experienced teams to build scalable data solutions and contribute to business intelligence initiatives.

Roles & Responsibilities

- Support data acquisition, integration, and provisioning activities.

- Help build and maintain enterprise data engineering solutions.

- Assist in developing reliable and scalable data pipelines.

- Ensure data quality, accessibility, and consistency across platforms.

- Work with analytics teams to support reporting and business intelligence.

- Apply data engineering best practices to routine technical tasks.

- Resolve basic technical issues by following established procedures.

- Contribute to projects involving data platforms and analytics solutions.

- Learn modern data engineering tools and technologies.

- Collaborate with cross-functional teams under the guidance of senior engineers.

Qualifications & Eligibility

- Bachelor's degree in Computer Science, Information Technology, Data Science, Engineering, or a related field.

- 0–2 years of relevant experience.

- Fresh graduates with strong academic knowledge are encouraged to apply.

- Understanding of data engineering fundamentals.

- Good analytical and problem-solving skills.

- Willingness to learn new technologies and work in a collaborative environment.

Skills Required

- Data Engineering

- SQL

- Data Analytics

- Data Integration

- ETL Concepts

- Data Platforms

- Business Intelligence

- Problem Solving

- Analytical Thinking

- Team Collaboration

𝐏𝐫𝐞𝐟𝐞𝐫𝐫𝐞𝐝 𝐒𝐤𝐢𝐥𝐥𝐬

- Databricks

- Python

- Apache Spark

- Cloud Data Platforms

- Data Warehousing

- Big Data Concepts

- Reporting Tools

- Data Modeling

- Azure or AWS

- Communication Skills

𝐖𝐡𝐲 𝐉𝐨𝐢𝐧 𝐂𝐚𝐫𝐝𝐢𝐧𝐚𝐥 𝐇𝐞𝐚𝐥𝐭𝐡?

- Work with a global leader in healthcare technology and services.

- Gain hands-on experience with enterprise data engineering projects.

- Learn modern analytics and data platform technologies.

- Collaborate with experienced data engineering professionals.

- Build expertise in business intelligence and data integration.

- Access continuous learning and career development opportunities.

- Grow your career in a collaborative and inclusive workplace.

𝐂𝐚𝐫𝐞𝐞𝐫 𝐆𝐫𝐨𝐰𝐭𝐡 𝐎𝐩𝐩𝐨𝐫𝐭𝐮𝐧𝐢𝐭𝐢𝐞𝐬

This role provides an excellent foundation for careers such as:

- Data Engineer

- Data Analyst

- ETL Developer

- Business Intelligence Developer

- Analytics Engineer

- Big Data Engineer

- Cloud Data Engineer

- Senior Data Engineer

- Data Platform Engineer

- Data Architect

𝐖𝐡𝐨 𝐒𝐡𝐨𝐮𝐥𝐝 𝐀𝐩𝐩𝐥𝐲?

- B.E./B.Tech, B.Sc., M.Sc., MCA, and other Computer Science, IT, Data Science, or Engineering graduates.

- Fresh graduates interested in Data Engineering and Analytics.

- Candidates with academic projects or internship experience in SQL, Python, ETL, or data platforms.

- Individuals passionate about building scalable data solutions.

- Aspirants looking to start a long-term career in Data Engineering and Business Intelligence.