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EY

Data Engineer – Data, AI

EY

Data Engineer implementing secure and scalable cloud-based solutions on Azure for EY. Collaborating with stakeholders to translate requirements into technical solutions.

Posted 7/29/2026full-timeKolkata • 🇮🇳 IndiaMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in architecting big data solutions with a strong focus on Azure Cloud technologies, including Azure Data Factory, Azure Synapse, and DataBricks. Capable of translating business requirements into technical solutions while ensuring security, performance, and scalability.

Highest-signal resume keywords
Azure Cloud AnalyticsSQL ExpertisePySpark ExpertiseAzure Data FactoryDataBricks

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Big Data Solutions ArchitectureData ModellingIntegration of Source SystemsNoSQL DatabasesAutomation Implementation
Soft Skills
CollaborationKnowledge SharingTeam Leadership
Tools & Technologies
Azure SynapseADLSUnity CatalogDelta LakeMongoDB
Certifications & Qualifications
Azure AI Fundamentals
Industry Keywords
Business RequirementsTechnical SolutionsOperational EfficiencyAgile EnvironmentData Analytics

Tech Stack

Tools & technologies
AzureCloudMongoDBNoSQLPySparkSQLUnity

About the role

Key responsibilities & impact
  • Responsible for implementing secure, scalable, and highly available cloud-based solutions on Azure Cloud Analytics
  • Collaborate with internal and external stakeholders to understand their business requirements and translate them into technical solutions
  • Identify and implement automation opportunities to increase operational efficiency
  • Conduct knowledge sharing and training sessions to educate clients and internal teams on cloud technologies
  • Interact and collaborate with various teams (web Development/ MS Apps / API Development etc.) to deliver the products
  • Work very closely with Data Architects/Technical Managers in agile environment to identify and understand the problem statements and develop/prototype the solutions accordingly.
  • Should be able to work as Individual contributor
  • Experience in leading 2-4 member team

Requirements

What you’ll need
  • 4-8 years of experience in architecting big data solutions
  • Strong SQL Expertise and Hands-on experience
  • Strong PySpark Expertise and Hands-on experience
  • Expertise experience with integration of different Sources System (ERPs, Applications DBs, Cloud Systems and Sharepoint) using Azure Data Factory, Azure Synapse pipelines and ADLS.
  • Strongs Hands on experience on ADF, ADLS and Synapse.
  • Good Hands on Experience on DataBricks and should be able to demonstrate the usecases for DataBricks usage
  • Good Understanding on Unity Catalog and Delta Lake concepts
  • Understanding of data modelling concepts and should be able to demonstrate various Data Modelling mechanisms
  • Exposure on Azure AI Fundamentals
  • Experience with BI, and data analytics databases
  • Exposure in working with NoSQL using MongoDB or similar
  • Experience in converting business problems/challenges to technical solutions considering security, performance, scalability etc.
  • Minimum 3 years hand-on experience in one or more of the above areas.
  • Minimum 4 years industry experience

Benefits

Comp & perks
  • Competitive salary