Data Engineering Developer

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

Title    Data Engineering Developer    

Rank    Senior
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.  

 
Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.