Cardinal Health Data Engineering 2026 | Analyst | Bangalore — Apply Now

About the Role

This role involves applying fundamental data engineering concepts to perform routine tasks, working on projects of limited scope, and resolving technical problems using established procedures.

As a data engineering analyst, you will be responsible for supporting data acquisition, integration, and provisioning to make raw data usable and accessible.

Key Responsibilities

• Design and implement ETL (Extract, Transform, Load) processes using Python and Spark to extract data from various sources.
• Develop and maintain data pipelines using Express.js to ensure seamless data flow and integration.
• Work on data quality and integrity by identifying and resolving data inconsistencies and errors.
• Collaborate with cross-functional teams to understand business requirements and develop data solutions.
• Develop and maintain SQL queries to extract and manipulate data from databases.
• Perform data profiling and analysis to identify trends and patterns.
• Document and maintain data engineering processes and procedures.

Skills & Qualifications

• Strong understanding of data engineering concepts and principles.
• Proficiency in Python programming language.
• Experience with ETL tools such as Spark and Express.js.
• Knowledge of SQL and database management systems.
• Bachelor's degree in Computer Science, Information Technology, or related field.
• Basic understanding of data visualization tools and techniques.
• Ability to work in a team environment and collaborate with cross-functional teams.

What You'll Learn

In this role, you will gain hands-on experience in designing and implementing data engineering solutions using various tools and technologies.

You will learn to work with large datasets, develop data pipelines, and ensure data quality and integrity.

This role will provide you with opportunities to work on real-world projects, collaborate with experienced professionals, and develop your skills in data engineering.

Resume Tip

When applying for this role, make sure to highlight your experience with data engineering tools and technologies, such as Spark, Express.js, and SQL.

Include specific examples of data engineering projects you have worked on, and the skills you have developed in this area.

Also, be sure to emphasize your ability to work in a team environment and collaborate with cross-functional teams.