Azure Data Engineer

7 days ago


Bengaluru, Karnataka, India Domniclewis Full time

Job Description :

Responsibilities :

Azure Landing Zone Cost Management :

  • Scrutinize and fine-tune costs tied to Azure landing zones, ensuring judicious resource employment.
  • Deploy cost monitoring mechanisms and craft strategies to curtail expenses while preserving peak performance.

Data Engineering :

  • Craft, implement, and sustain scalable, economical data solutions on the Azure ecosystem.
  • Engage collaboratively with multifaceted teams to grasp and align data requisites with business goals.

Performance Optimization :

  • Execute performance refinements and optimizations for Azure data solutions, balancing efficacy with fiscal considerations.
  • Advocate and enact best practices to enhance performance and trim costs.

Azure Data Services :

  • Harness a profound understanding of Azure data services encompassing Azure SQL Database, Azure Data Factory, Azure Databricks, and Azure Synapse Analytics.
  • Stay abreast of the latest Azure data services innovations to capitalize on for optimal outcomes.

Cost Analysis and Reporting :

  • Forge and maintain comprehensive cost analysis reports for Azure data solutions, furnishing insights and strategies for cost efficiencies.
  • Collaborate with finance and other stakeholders for precise budgeting and forecasting of Azurerelated expenditures.


Qualifications :


  • Bachelor's degree in computer science, Information Technology, or equivalent.
  • Demonstrated track record as a Data Engineer focusing on Azure data services.
  • Proficiency in Azure pricing frameworks and cost management methodologies.
  • Handson experience in implementing and refining Azure landing zones.
  • Mastery in one or more programming languages (e.g., Python, SQL).
  • Competence in automating Cloud Infrastructure via Terraform.
  • Exceptional problemsolving acumen and analytical prowess.
  • Stellar communication and collaborative aptitude.
Preferred

Qualifications :


  • Azure certifications pertinent to data engineering.
  • Exposure to data governance and compliance paradigms in Azure.
  • Familiarity with DevOps principles and tools
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