Azure Data Engineer en Zapopan, Jalisco para Bizzlinker - Hireline México

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Azure Data Engineer

Sueldo oculto

Jalisco

Empleado de tiempo completo

Nivel de Inglés: Nivel Avanzado

Our Client's Company is a global technology company that’s delivering future value through customer solutions. Their advanced, patented intellectual property combines breakthrough technologies, digital transformation, and human know-how to unlock the power of images and information. They make businesses run faster, governments run smarter and provide consumers innovative solutions to preserve and enjoy their most cherished memories.   

They are UK owned, with a global reach, supporting customers in more than 100 countries. Their major office locations are in UK, Germany, US, Mexico, and China.   
Their legacy is rich: born from one of the world’s most iconic brands, they have a strong heritage in innovation, and a sharp focus on bringing technology to market.   
Their  future is powered by their employees’ creativity. 
                        
As an Azure Data Engineer, you will work collaboratively with Data Analysts and IT functions, providing support and enhancement for the Azure Data Architecture.      
You are responsible for onboarding new datasets into the centralized Data Lakehouse among other important activities.

Requirements: 

  •  Knowledge of Azure Data Factory, SQL Azure, Table & Blob Storage.
  • Microsoft Powe BI 
  • Strong development knowledge to build automation and configurable solutions.
  • Ability to write complex SQL queries, TSQL knowledge, DML/DDL, triggers, CTE's, query tuning, etc.
  • Prior knowledge of designing complex SQL Server Integration Services (SSIS) packages and familiarity with script tasks, checkpoints, recordset objects, package vs. project deployment.
  • Strong English communication skills 

Responsibilities ⠀
  • Create and maintain data pipeline architecture for enterprise wide data
  • Design and assemble large, complex data sets that meet business requirements.
  • Build infrastructure and workflows required for extraction, transformation, and loading (ETL) of data from different data sources
  • Thorough understanding of Data Flows within Azure ADF and setup SSISIR to publish SSIS packages to Azure.
  • Create, document and maintain logical and physical database models in compliance with enterprise standards and maintained corporate metadata definitions for enterprise datastores within a metadata repository.