Senior DevOps Engineer // Hartford, CT // 6 Months Right To Hire !! stellar consulting Hartford, CT

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Stellar Consulting Solutions is a boutique business and technology consulting company headquartered in Atlanta, GA. We deliver high quality, agile, and experienced workforce for niche technology projects of any scale. We help forward thinking clients to solve specific problems by understanding their needs and align talent that can move fluidly
to match skill supply and demand on a real-time basis.

Stellar Consulting has a unique combination of technical and digital skills to recruit, engage, and retain qualified talent. We have a stellar reputation for striving to achieve high ethical standards. Our use of Innovative techniques and industry best practices has made us one of the fastest growing boutique firms delivering to enterprise business.
Job Title: Senior DevOps Engineer, Data Engineering
Location: Hartford, CT
Duration: 6 Months Right To Hire


Summary
The client is seeking a Senior DevOps Engineer, Data will be responsible for the development, maintenance, and optimization of data migration and CI/CD pipelines across the full scope and stack of our platforms. This role has a strong understanding of SDLC principles as they apply to DevOps and Data Engineering including design, development, maintenance, and deployment of scalable Azure cloud data, CI and CD pipelines.

Must have
  • 7 years of data engineering large-scale, low latency relational data platforms.
  • 3 years of experience building data pipelines with Azure DataFactory.
  • 4 years of experience deploying solutions on Azure cloud adhering to Microsoft Azure.
  • 4 years of experience working within Agile development organizations.
Responsibilities
  • Write and maintain reusable DataFactory pipelines for automating data transfer from on-premise legacy systems into Azure cloud.
  • Collaborate with team members to support and improve data pipelines, data migration processes, release pipelines, standards, and tools.
  • Maintain and troubleshoot existing Azure DevOps pipelines for application deployments.
  • Use best practices to engineer re-usable configuration-based code and pipelines.
  • Solution and implement best practices for mapping legacy relational schemas to Azure SQL and Azure table storage components.
  • Implement, and test automated data migration, backup, and recovery procedures across multiple clouds and on-premise systems.
  • Analyze, diagnose and repair failing pipelines.
  • Write and maintain clear, concise documentation, runbooks and operational standards including data flow and ORM diagrams.
Required Skills
  • 4-year bachelor's degree in Computer Science, Computer Engineering or related discipline
  • 7 years of data engineering large-scale, low latency relational data platforms.
  • 3 years of experience building data pipelines with Azure DataFactory.
  • 3 years experience managing build and release pipelines with Azure Functions, containers, messaging, and orchestration components.
  • 4 years of experience deploying solutions on Azure cloud adhering to Microsoft Azure.
  • 4 years of experience working within Agile development organizations.
  • Extensive ETL/ELT and data modeling experience.
  • Extensive hands-on experience optimizing and building data pipelines leveraging Microsoft SQL
  • Extensive hands-on experience developing big data transformation pipelines mapping various data structures to relational optimized relational structures.
  • Extensive experience with version control(git) in a CI/CD development workflow.
  • Working knowledge with modern DevOps solution patterns and Infrastructure as code cloud automation solutions.
  • Strong OOP principles and practice with Python, Java, or C#.
  • Experience building data pipelines to support batch, micro-batch, streaming, messaging, and REST-based API integrations.
  • Experience with Azure DevOps application release pipeline management.

Best Regards,
Shekhar
Direct
- 678-935-7002
Email: *************
Stellar Consulting Solutions

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CI/CD, Azure, DevOps, DataFactory

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