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Cencora

Azure Data Infrastructure Engineer

Reposted 17 Hours Ago
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In-Office
Pune, Maharashtra
Senior level
In-Office
Pune, Maharashtra
Senior level
The Azure Data Engineer will monitor data pipelines, optimize workflows, collaborate with teams, and implement monitoring tools in Azure for data processing.
The summary above was generated by AI
Our team members are at the heart of everything we do. At Cencora, we are united in our responsibility to create healthier futures, and every person here is essential to us being able to deliver on that purpose. If you want to make a difference at the center of health, come join our innovative company and help us improve the lives of people and animals everywhere. Apply today!
Job Details
Responsibilities:
  • Monitor existing operational pipeline dashboards, and dashboard refactoring
  • Monitor and optimize data workflows for performance and scalability.
  • Implement monitoring capabilities and alerts for production data pipelines using Azure Log Analytics and KUSTO Query Language
  • Troubleshoot and resolve issues related to data processing.
  • Contribute to data engineering / Databricks internal wiki
  • Collaborate with data scientists, analysts, and other engineers to ensure data reliability and availability.

Education:
  • Bachelor's degree in computer science, Information Technology or any other related discipline

Preferred Certifications:
  • Microsoft Certified Systems Administrator (MCSA)
  • Microsoft Certified IT Professional
  • ITIL, ITSM Certifications

Work Experience:
  • 7-10 years of directly related or relevant experience, preferably in application support or system/application/database administration.
  • In-depth knowledge of Microsoft Azure components Microsoft Pipelines
  • Hands on experience on data lake activities such as Azure Data Factory, Event Hubs, Databricks, Synapse, Blob Storage, Log Analytics, Stream Analytics, etc
  • Expertise on Azure Devops with hands on in developing and maintaining Microsoft Pipelines (commonly referred too as CI/CD)
  • Expertise in developing and maintaining data pipelines using Debezium (not mandatory), Databricks and Azure services.
  • Strong knowledge of data modeling, STAR Schema, ETL, and real-time data streaming.
  • Experience creating dashboards and reports in Power BI or similar tool
  • Familiarity with SQL, Python, and KUSTO Query Language
  • Familiar with agile / scrum / kanban
  • Exposure to Scripting/programming Languages (e.g. SQL, KQL, Python)

Skills and Knowledge:
  • Excellent problem-solving skills and attention to detail.

Working hours: 5pm - 2 am IST
What Cencora offers
Benefit offerings outside the US may vary by country and will be aligned to local market practice. The eligibility and effective date may differ for some benefits and for team members covered under collective bargaining agreements.
Full time
Affiliated Companies
Affiliated Companies: CENCORA BUSINESS SERVICES INDIA PRIVATE LIMITED
Equal Employment Opportunity
Cencora is committed to providing equal employment opportunity without regard to race, color, religion, sex, sexual orientation, gender identity, genetic information, national origin, age, disability, veteran status or membership in any other class protected by federal, state or local law.
The company's continued success depends on the full and effective utilization of qualified individuals. Therefore, harassment is prohibited and all matters related to recruiting, training, compensation, benefits, promotions and transfers comply with equal opportunity principles and are non-discriminatory.
Cencora is committed to providing reasonable accommodations to individuals with disabilities during the employment process which are consistent with legal requirements. If you wish to request an accommodation while seeking employment, please call 888.692.2272 or email [email protected]. We will make accommodation determinations on a request-by-request basis. Messages and emails regarding anything other than accommodations requests will not be returned

Top Skills

Azure Data Factory
Azure Devops
Azure Log Analytics
Blob Storage
Databricks
Debezium
Event Hubs
Kusto Query Language
Power BI
Python
SQL
Stream Analytics
Synapse

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