Analyst, Data Engineering

Start your data engineering career by working on enterprise-scale data platforms that transform raw information into valuable business insights. This role provides hands-on exposure to data integration, analytics, and cloud-based data technologies while helping you build a strong foundation in modern data engineering practices.

🌍 What You'll Be Working On

As an Analyst, Data Engineering, you'll assist in preparing, organizing, and maintaining data used across various business functions. You'll work with structured and unstructured datasets, support data integration activities, and help ensure that data remains accurate, consistent, and accessible for reporting and analytics.

Your daily work may include monitoring data pipelines, validating incoming datasets, troubleshooting basic technical issues, and collaborating with analytics teams to deliver reliable data for business decision-making.

🛠 Key Responsibilities

• Support the development and maintenance of enterprise data pipelines.

• Assist with data ingestion, transformation, and validation processes.

• Help maintain data quality and consistency across multiple systems.

• Work with analytics teams to understand reporting requirements.

• Troubleshoot routine data-related issues following established procedures.

• Document workflows and maintain technical documentation.

• Participate in testing and deployment of data engineering solutions.

• Learn and apply best practices for data governance and security.

💻 Technologies You'll Gain Exposure To

SQL Python Databricks ETL Data Warehousing Cloud Data Platforms

Knowledge of Databricks is preferred, making this an excellent opportunity for candidates already exploring modern cloud-based data engineering tools.

🎓 Who Can Apply

This opportunity is suitable for:

• B.E./B.Tech graduates in Computer Science, Information Technology, Data Science, or related fields.

• Candidates with 0–2 years of professional experience.

• Fresh graduates looking to start a career in Data Engineering.

• Applicants with strong analytical and problem-solving abilities.

• Candidates willing to learn enterprise data technologies.

Cardinal Health also encourages applications from candidates returning to work, veterans, people with disabilities, and individuals from diverse backgrounds.

📈 Skills That Will Help You Stand Out

Candidates with the following skills may have an advantage during the selection process:

• Strong SQL fundamentals

• Python programming

• Database concepts

• ETL basics

• Data modeling fundamentals

• Basic cloud platform knowledge

• Databricks familiarity

• Problem-solving ability

• Communication skills

• Team collaboration

• Analytical thinking

• Attention to detail

Strong fundamentals in SQL and logical thinking often matter more than mastering every data engineering tool at the beginning of your career.

🚀 Career Growth

This role offers an excellent foundation for building a long-term career in data engineering. As you gain experience, you may progress into positions such as:

• Data Engineer

• ETL Developer

• Analytics Engineer

• Cloud Data Engineer

• Data Platform Engineer

• Senior Data Engineer

You'll also gain valuable experience working with enterprise analytics platforms and modern cloud-based data solutions used by global organizations.

📚 Preparation Tips

Before applying, consider strengthening your knowledge in:

• SQL joins and window functions

• Python for data processing

• ETL concepts

• Data Warehousing fundamentals

• Basic Databricks concepts

• Cloud computing basics

• Git version control

• Data quality and validation

These skills can improve your readiness for technical interviews and day-to-day responsibilities.

🔑 Keywords for Resume

SQL • Python • Databricks • ETL • Data Engineering • Data Warehousing • Cloud Computing • Data Integration • Analytics • Data Pipelines • Git • Problem Solving • Data Validation • Database Management • Business Intelligence

💡 Final Thoughts

Cardinal Health's Analyst, Data Engineering position is an excellent opportunity for fresh graduates and early-career professionals looking to enter enterprise data engineering. With exposure to modern data platforms, collaborative teams, and real-world business data, this role provides a strong starting point for building a successful career in the data engineering domain.