Hybrid Data Platform Engineer – Databricks & Cloud

Cardinal Health; India (PA); Hybrid; USD 85,000 - 110,000; Full time

Job summary

Cardinal Health is seeking an Analyst, Data Engineering - Platform Engineering to join the global Data & Analytics function. You will help design, implement, and support scalable data platforms, focusing on Databricks, Spark, and CI/CD workflows in a hybrid environment.

The role emphasizes cloud platforms (Azure/GCP/AWS), Python, SQL, and production-grade data pipelines, with opportunities for automation, reliability, and cross-functional collaboration.

Qualifications

• 1-3 years of experience in Data/Platform Engineering or related roles.
• Bachelor’s degree in CS/Engineering or related field.
• Hands-on with Databricks, Spark, and cloud platforms.
• Experience building CI/CD pipelines and IaC concepts.

Responsibilities

• Support design, implementation, and maintenance of data platform solutions.
• Develop and manage data processing workloads with Databricks/Spark.
• Build CI/CD deployment pipelines using Harness and other DevOps tools.
• Assist platform modernization and cloud migration efforts.
• Monitor health and reliability of data platforms and pipelines.
• Collaborate with cross-functional teams to deliver reliable data capabilities.

Skills

Databricks

Apache Spark

Harness CI/CD

Python

SQL

PySpark

Git/GitHub

Terraform

Monitoring

DevOps

Education

Bachelor's degree

Tools

Databricks

Apache Spark

Harness

Azure

AWS

GCP

GitHub

Terraform

Job description

Cardinal Health is seeking an Analyst, Data Engineering - Platform Engineering to join the global Data & Analytics function. You will help design, implement, and support scalable data platforms, focusing on Databricks, Spark, and CI/CD workflows in a hybrid environment.

The role emphasizes cloud platforms (Azure/GCP/AWS), Python, SQL, and production-grade data pipelines, with opportunities for automation, reliability, and cross-functional collaboration.