Azure Data Engineer

Location: Flexible     |     Position: Full Time     |     Salary: Competitive

About Xyenta

Xyenta is a technology and business consultancy focused on the Financial Services sector. We specialise in data analytics, digital transformation, and business process outsourcing. Our professionals work in collaboration with our clients to deliver digital solutions and managed services based on deep industry and domain expertise. We serve our clients from development hubs in UK and India.


Role

You will be involved in building an enterprise class cloud data warehouse (or lake house), using most modern technologies data tools.


Skills Set

  • Expert in data warehousing concepts and principles
  • Experience of working on Enterprise Data Warehouses
  • Strong experience with Azure Data Stack
  • Expert in building and configuring pipeline in Azure Data Factory
  • Some experience working with Databricks or Spark
  • Good understanding of Azure Data Lake, Azure SQL Database or SQL Data Warehouse
  • Expert in writing complex T SQL procedures and tuning complex SQL queries
  • Efficient in data modelling based on Inmon or Kimball methodologies
  • Knowledge of modern various PaaS and IaaS cloud technologies
  • Basic experience of Azure Infrastructure deployment using ARM templated or Terraform
  • Ability to transform high level design into detailed technical implementation
  • Working knowledge of Power BI or any other similar data visualisation tools


Other must haves

  • Strong analytical and problem-solving skills
  • Able to conduct code reviews on the work done by other members of the team
  • Ability to mentor junior members of the team
  • Good communication skills in spoken and written English
  • Exposure to best practices and frameworks
  • Should keep work at hand organized and structured. Able to create templates, establish own standards based on client inputs

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