Data Engineering Developer - GIGHire

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. 

 

 

 

 

Job Description

 

Overall Years of Experience

• 3 to 5 years

Relevant Years of Experience

• 3+

 

Position Summary

• Must Have – Azure Synapse Analytics with PySpark, Azure Data Factory , ADLS Gen2 , SQL DW, T-SQL
• Good to have – Azure data bricks , Microsoft Fabric & One Lake, SSIS, ADO
   

Roles and Responsibilities

Essential

• Hands-on experience in Azure Data Factory or Azure Synapse Analytics
• Hands-on experience in data warehouse or data lake development
• Experience in handling data in datastores Azure SQL/ T- SQL /SQL DW
• Experience in working with various types of data sources – flat files , JSON, DBs etc.
• Ability to build workflows and pipelines in Azure synapse analytics
• Fair knowledge of Spark, Python
• Fair knowledge on DWH concepts
• Experience in CI/CD, build automations for deployment
• Strong analytical, interpersonal and collaboration skills

 

EY | Building a better working world 

 
EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.  

 
Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.  

 
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