Analyst, Data Engineering

Cardinal Health; Dublin (OH); Hybrid; USD 90.000 - 120.000; Vollzeit

Zusammenfassung

Cardinal Health in Dublin, OH is seeking an Analyst, Data Engineering - Platform Engineering to help design and operate scalable data platforms across the enterprise.

You will work on Databricks, Spark, CI/CD pipelines, and cloud platforms, collaborating with cross-functional teams to deliver reliable data services and production support.

This role offers exposure to modern data engineering practices, automation, and platform reliability in a global, rotating-shift environment.

Qualifikationen

• 1-3 years of experience in Data Engineering, Platform Engineering, Site Reliability Engineering (SRE), DevOps, or related technical roles.
• Hands-on experience with Databricks, Apache Spark, and cloud-based data platforms.
• Experience developing, maintaining, and supporting CI/CD pipelines using Harness, Azure DevOps, GitHub Actions, or similar tools.
• Working knowledge of cloud platforms such as Microsoft Azure, Google Cloud Platform (GCP), or AWS.
• Experience with SQL, Python, PySpark, and data engineering best practices.
• Familiarity with source control tools such as Git/GitHub.
• Basic understanding of Infrastructure as Code (IaC) concepts, preferably Terraform.
• Knowledge of platform monitoring, observability, incident management, and operational support processes.
• Understanding of data governance, security, access management, and platform reliability principles.

Aufgaben

• Support the design, implementation, and maintenance of enterprise data platform solutions.
• Develop, deploy, and manage data processing workloads using Databricks and Apache Spark.
• Build and maintain CI/CD deployment pipelines using Harness and other DevOps tools.
• Support platform modernization, cloud migration, automation, and continuous improvement initiatives.
• Monitor platform health, performance, and availability and proactively identify opportunities for optimization.
• Investigate and resolve platform issues, deployment failures, and data pipeline incidents.
• Collaborate with Data Engineers, Architects, Product Teams, and Business Stakeholders to deliver reliable data platform capabilities.
• Ensure adherence to security, compliance, governance, and operational standards.
• Participate in production support activities, root cause analysis, and incident resolution processes.
• Contribute to documentation, operational runbooks, and knowledge-sharing initiatives.
• Work closely with global teams to deliver highly available and scalable platform services.

Kenntnisse

Databricks

Apache Spark / PySpark

Harness CI/CD Pipelines

Python

SQL

Cloud Platforms (Azure, GCP, AWS)

Git / GitHub

Terraform

Monitoring & Observability

DevOps & Platform Engineering

Incident & Production Support

Ausbildung

Bachelor's degree in Computer Science, Engineering, Information Systems, or related discipline

Tools

Harness CI/CD

Azure DevOps

GitHub Actions

Git

Terraform

Jobbeschreibung

Analyst, Data Engineering page is loaded## Analyst, Data Engineeringremote type: Hybridlocations: IND07time type: Full timeposted on: Posted Todayjob requisition id: 20189397**Analyst, Data Engineering - Platform Engineering****What Data Engineering Contributes to Cardinal Health**The Data & Analytics Function oversees the analytics lifecycle to identify, analyze, and present actionable insights that drive business decisions and create competitive advantage. This function manages enterprise data platforms, data access, governance, reporting, business intelligence solutions, and advanced analytics capabilities.Data Engineering is responsible for building, maintaining, and optimizing scalable data platforms that enable efficient data ingestion, transformation, orchestration, and consumption across the enterprise. As part of the Platform Engineering team, this role focuses on delivering reliable, secure, automated, and scalable data infrastructure supporting business-critical analytics and data products.The ideal candidate will contribute to platform operations, cloud-based data engineering solutions, CI/CD automation, and production support while partnering with cross-functional teams to ensure a stable and high-performing data ecosystem.**Qualifications*** 1-3 years of experience in Data Engineering, Platform Engineering, Site Reliability Engineering (SRE), DevOps, or related technical roles.* Bachelor's degree in computer science, Engineering, Information Systems, or a related discipline (or equivalent work experience).* Hands-on experience with Databricks, Apache Spark, and cloud-based data platforms.* Experience developing, maintaining, and supporting CI/CD pipelines using Harness, Azure DevOps, GitHub Actions, or similar tools.* Working knowledge of cloud platforms such as Microsoft Azure, Google Cloud Platform (GCP), or AWS.* Experience with SQL, Python, PySpark, and data engineering best practices.* Familiarity with source control tools such as Git/GitHub.* Basic understanding of Infrastructure as Code (IaC) concepts, preferably Terraform.* Knowledge of platform monitoring, observability, incident management, and operational support processes.* Understanding of data governance, security, access management, and platform reliability principles.**Key Responsibilities*** Support the design, implementation, and maintenance of enterprise data platform solutions.* Develop, deploy, and manage data processing workloads using Databricks and Apache Spark.* Build and maintain CI/CD deployment pipelines using Harness and other DevOps tools.* Support platform modernization, cloud migration, automation, and continuous improvement initiatives.* Monitor platform health, performance, and availability and proactively identify opportunities for optimization.* Investigate and resolve platform issues, deployment failures, and data pipeline incidents.* Collaborate with Data Engineers, Architects, Product Teams, and Business Stakeholders to deliver reliable data platform capabilities.* Ensure adherence to security, compliance, governance, and operational standards.* Participate in production support activities, root cause analysis, and incident resolution processes.* Contribute to documentation, operational runbooks, and knowledge-sharing initiatives.* Work closely with global teams to deliver highly available and scalable platform services.**What Is Expected of You and Others at This Level*** Applies foundational technical knowledge and engineering best practices to platform and data engineering tasks.* Works on projects of moderate scope under guidance from senior engineers and technical leads.* Troubleshoots and resolves technical issues using established procedures and operational frameworks.* Demonstrates strong analytical and problem-solving capabilities.* Continuously develops expertise in Databricks, cloud technologies, DevOps, and platform engineering practices.* Supports platform reliability, automation, and operational excellence initiatives.* Effectively collaborates within cross-functional and geographically distributed teams.* Takes ownership of assigned deliverables and contributes to team success.**Preferred Technical Skills*** Databricks (Workflows, Delta Lake, Unity Catalog)* Apache Spark / PySpark* Harness CI/CD Pipelines* Python* SQL* Azure Data Platform, GCP, or AWS* Git/GitHub* Terraform* Monitoring and Observability Tools* DevOps & Platform Engineering Practices* Incident and Production Support Management**Work Schedule**This position is part of a global Data Engineering Platform Operations team and requires participation in a rotational shift model to provide support coverage across multiple regions and time zones.Candidates should be comfortable working in the following rotational shifts based on business needs:* **Morning Shift:** 6:00 AM - 3:00 PM* **Afternoon Shift:** 1:00 PM - 10:00 PM* **Evening Shift:** 5:30 PM - 2:30 AM**Additional Expectations*** Participate in rotational production support and platform operations activities.* Monitor and support Databricks environments, data pipelines, CI/CD deployments, and platform services.* Respond to platform incidents, service disruptions, deployment failures, and operational requests within defined SLAs.* Collaborate effectively with globally distributed platforms, engineering, and business teams.* Support continuous improvement initiatives focused on automation, reliability, and operational efficiency.This role offers an excellent opportunity to gain hands-on experience with modern data platforms, cloud technologies, Databricks, DevOps practices, and enterprise-scale data engineering operations.Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law.*To read and review this privacy notice click*Headquartered in Dublin, Ohio, Cardinal Health, Inc. (NYSE: CAH) is a distributor of pharmaceuticals, a global manufacturer and distributor of medical and laboratory products, and a provider of performance and data solutions for healthcare facilities.We are a crucial link between the clinical and operational sides of healthcare, delivering end-to-end solutions and data-driving insights that advance healthcare and improve lives every day. With deep partnerships, diverse perspectives and innovative digital solutions, we build connections across the continuum of care.With more than 50 years of experience, we seize the opportunity to address healthcare's most complicated challenges - now, and in the future.