Cardinal Health Logo

Cardinal Health

DATA ENGINEER (SRE)

Reposted 7 Days Ago
Be an Early Applicant
IND
Senior level
IND
Senior level
The Data Engineer (SRE) will work as part of the Cloud Data Engineering team, focusing on providing support, monitoring, and maintenance of data engineering platforms. Responsibilities include troubleshooting data pipelines, analyzing system monitoring data, implementing performance optimizations, and coordinating with developers to meet SLAs. The role also involves mentoring team members and driving continuous improvement initiatives.
The summary above was generated by AI

Headquartered in Dublin, Ohio, Cardinal Health, Inc. (NYSE: CAH) is a global, integrated healthcare services and products company connecting patients, providers, payers, pharmacists and manufacturers for integrated care coordination and better patient management. Backed by nearly 100 years of experience, with more than 50,000 employees in nearly 60 countries, Cardinal Health ranks among the top 20 on the Fortune 500.

Department Overview

augmented Intelligence (augIntel) builds automation, analytics and artificial intelligence solutions that drive success for Cardinal Health by creating material savings, efficiencies, and revenue growth opportunities. The team drives business innovation by leveraging emerging technologies and turning them into differentiating business capabilities. We are seeking an experienced support analyst to join the Cloud Data Engineering team. This is an agile team focused on building various Platform Engineering and Data ingestion in Google Cloud.

High-level team responsibility will include:

  • Process Analysis / Opportunity Assessment and create Roadmap for execution

  • Troubleshoot Data Pipeline & automate the frameworks.

  • Idea Incubation, Design Thinking, Conducting POCs / POVs

  • Developing and fostering a culture of “Create”, “Consult”, and “Cultivate”

  • User Experience at the core of development

  • Ensure right levels of Logging/ monitoring/ alerting in solutions to help operations Responsibilities for this role:

  • Provide monitoring, support and maintenance of Cloud Data Engineering Platform.

  • Supports global 24x7 operations team in technical support for business operations by proactive overseeing, researching, and resolving production issues in automation solutions and platforms.

  • Supports efforts to define monitoring metrics and practices of Data Platforms

  • Ensure right levels of Logging/ monitoring/ alerting in solutions to help operations.

  • Analyze system monitoring data and make the corrections/enhancements to the Data and ML Ops Platform.

  • Work on performance optimization and maintenance by following operational procedures Support with transitioning of new bots into production support by following SOP's.

  • Co-ordinate with developers and support resources to meet the SLA defined in Support governance document.

  • Setup continuous monitoring solutions for projects

  • Assist in improving support processes in place

  • Contribute to continuous improvement initiatives for the Data and ML Ops Platform

  • Training and mentoring individuals on application support and delivery disciplines as team grows

Qualifications:

  • Bachelor degree in Computer Science, Information Systems, related technical degree, or equivalent industry experience, and a minimum five years of IT experience

  • 5+ years of experience in software development and support experience

  • 3+ years of hands-on experience in Big Data systems, Data Analytics and Data Integration related fields

  • 5+ years’ experience with support and monitoring team experience for Data Engineering / Integration/ Data Platform teams.

  • Working experience/knowledge in infrastructure/application architecture.

  • Working experience/knowledge in Public Cloud Infrastructure (GCP preferred).

  • Working experience/knowledge of Cloud technologies & Services (GCP preferred)

  • Python & Terraform experience is preferred.

  • Agile development skills and experience.

  • Experience with CI/CD pipelines such as Concourse, Jenkins

  • Google Cloud Platform certification is a plus

  • Excellent analytical ability to trouble shoot issues in Production environment

  • Outstanding work ethic and commitment to organization success.

  • Willingness to adapt to and self-learn new technologies and deliver on them

  • Excellent verbal and written communication skills with ability to clearly articulate status of requests and issues both with IT and business partners

Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply.

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/Affirmative Action 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 here

Top Skills

Big Data
Ci/Cd
Concourse
Data Analytics
Data Integration
Google Cloud Platform
Jenkins
Python
Terraform

Similar Jobs

2 Days Ago
Easy Apply
Hybrid
Bengaluru, Karnataka, IND
Easy Apply
Mid level
Mid level
Cloud • Software
As a Site Reliability Engineer on the Network Assurance Data Platform team, you will design, build, and optimize cloud and big data infrastructure, ensuring high availability and security for ML/AI workloads. You'll implement SRE principles, troubleshoot complex issues, collaborate with cross-functional teams, and contribute to the team's technical strategy and roadmap while mentoring peers.
22 Days Ago
Remote
5 Locations
Senior level
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Senior Site Reliability Engineer (SRE) will design, build, and maintain large-scale systems for data science and ML applications, focusing on reliability, scalability, and performance. Responsibilities include developing automation, enhancing operational maturity, and implementing SRE principles to ensure system reliability and observability.
Top Skills: Ci/CdElkGithub ActionsGoJenkinsKafkaKubernetesOpenstackPerlPrometheusPythonRubySpark
22 Days Ago
Bengaluru, Bengaluru Urban, Karnataka, IND
Senior level
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Senior Data Engineer, Site Reliability Engineering will design and deliver high-performance services, build streaming data pipelines, and develop data architecture. The role involves automation in measuring, testing, and monitoring, while collaborating with other teams to integrate innovations into production systems.
Top Skills: GoJavaKafkaPythonScala

What you need to know about the Chennai Tech Scene

To locals, it's no secret that South India is leading the charge in big data infrastructure. While the environmental impact of data centers has long been a concern, emerging hubs like Chennai are favored by companies seeking ready access to renewable energy resources, which provide more sustainable and cost-effective solutions. As a result, Chennai, along with neighboring Bengaluru and Hyderabad, is poised for significant growth, with a projected 65 percent increase in data center capacity over the next decade.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account