Encora Inc.

Data Engineer (BB-462A4)

Encontrado en: Neuvoo BO

Descripción:

Must

  • Have a passion for building solutions based on compute-optimization, CI/CD, orchestration-automation
  • Thrive in an organization that rewards teamwork and tenacity to grow as cloud technologies evolve
  • Self-motivated to look for out of the box solutions while promoting collaboration

    • This role requires

  • Solution Engineering: Migrate existing on-premise workloads onto Azure
  • Work on a team to architect, develop, and deliver target compute framework as well as BI and reporting solutions
  • Azure Development: Develop and deploy compute and pipelining batches on Azure
  • Interface directly with Quant Developers and business stakeholders, gathering feedback and helping in implementing building blocks of the above
  • SysOps Admin: Trouble-shoot new workload deployed on Azure

    • Skills & Experience

  • 3*+ years of experience in: Python (3x)* - backend, Data Warehouse, General Purpose Reporting and BI tools (Power BI, Tableau, Looker, etc.), Source Control (TFS, Git, etc.), CI/CD tools such as Octopus Deploy or others.
  • 3+ years of experience contributing to a platform for large analytics workloads (500GB-1TB) running them on Azure or AWS platform.

    • Preferred Skills

  • Experience with Windows stack: SQL database, PowerShell, Power BI, Analysis Cubes.
  • Experience with Azure cloud-native distributed systems: containers, microservice and serverless architectures.
  • Experience in developing Azure Functions for integrating Azure storage, IaaS, and PaaS services.
  • Experience with automation of build and deployment processes, continuous integration and application configuration management.
  • Experience with Azure Data Factory, Logic Apps, Service Bus, Event Hub.
  • Experience with large analytics workload management on Azure, minimizing data I/O bottlenecks, resolving dependencies, automating scheduling using event-based triggering, and, auto-scaling approaches.

    • calendar_todayhace 3 días

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