Azure Data Engineer

Reposted 16 Days Ago
Hiring Remotely in IND
Remote
Mid level
Artificial Intelligence • Big Data • Information Technology • Consulting
The Role
The Azure Data Engineer will build data pipelines and dataflows, implement security modules, and work with Azure services while supporting business requirements and data analysis.
Summary Generated by Built In

This is a remote position.

Roles & Responsibilities:
  • Understand business requirement and actively provide inputs from Data perspective.
  • Understand the underlying data and flow of data.
  • Build simple to complex pipelines & dataflows.
  • Work with other Azure stack modules like Azure Data Lakes, SQL DW, etc.
  • Should be able to implement modules that has security and authorization frameworks.
  • Recognize and adapt to the changes in processes as the project evolves in size and function.


Requirements
Knowledge, Skills & Abilities:
  • Expert level knowledge on Azure Data Factory.
  • Expert level knowledge of SQL DB & Data warehouse (e.g. Microsoft SQL Server 2012/2016 & SSIS)
  • Should know at least one programming language (e.g. C#, Visual Basic .NET, C++ .NET, PowerShell)
  • Should be able to analyse and understand complex data.
  • Knowledge of Azure data lake is an added advantage.
  • Knowledge of other Azure Services like Analysis Service, SQL Databases will be an added advantage
  • Excellent interpersonal/communication skills (both oral/written) with the ability to communicate at various levels with clarity & precision


Skills Required

  • Expert level knowledge on Azure Data Factory
  • Expert level knowledge of SQL DB & Data warehouse
  • Knowledge of programming language (C#, Visual Basic .NET, C++ .NET, PowerShell)
  • Excellent interpersonal/communication skills
  • Knowledge of Azure data lake (added advantage)
  • Knowledge of other Azure Services like Analysis Service, SQL Databases (added advantage)
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The Company

What We Do

Marktine is a data science and technology company specializing in AI-powered solutions, digital transformation, and IT consulting, focused on leveraging data to help clients make complex business decisions and streamline operations.

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