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Tax Senior - SQL Fabric

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Onsite

Tax Senior - SQL Fabric

EY

Tax Senior - SQL Fabric

Skills

SQL QueriesData EngineeringDatabricksAzure

1 month ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Onsite

Published on:

8 September 2026

What they need


EY is currently seeking a Data Engineer Senior to join our Tax Technology practice in India.

Key Responsibilities

  • Strong database programming/ backend development experience using SQL Server/Azure SQL, writing complex queries, stored procedures, views, triggers, cursors, UDFs.
  • Strong Azure SQL Database and Azure SQL Datawarehouse concepts.
  • Experience with the Azure Data Platform (Azure Data factory/ Databricks) is an added advantage.
  • Experience on Azure data platform offerings
  • Ability to effectively communicate with other team members and stakeholders
  • Strong verbal and written communications skills.

Qualification & Experience Required

Mandatory Skillset: TTT SQL Fabric (Tax Senior / Architect Track)

4 to 7 Years

  1. SQL & Database Architecture
  • Strong database programming and backend development experience using SQL Server / Azure SQL.
  • Expertise in:
  • Complex SQL query development
  • Stored Procedures
  • Views
  • Triggers
  • Cursors
  • User Defined Functions (UDFs)
  1. Data Modelling & Data Warehousing
  • Strong understanding of:
  • Data Modelling
  • Dimensional Modelling
  • Data Warehouse Architecture
  • Enterprise Data Design Principles
  1. Microsoft Fabric
  • Strong hands-on knowledge of Microsoft Fabric including:
  • Lakehouse architecture
  • Data Warehousing
  • Data Pipelines
  • OneLake
  • Data Engineering workloads
  1. ETL / Data Integration
  • Experience with:
  • Azure Data Factory (ADF)
  • ETL pipeline design and implementation
  • Data ingestion and transformation frameworks
  1. Azure Data Platform
  • Experience across Azure data services and platform offerings.
  • Understanding of cloud-native data architecture and deployment patterns.
  1. Data Engineering & Performance Optimization
  • Ability to:
  • Design and optimize databases
  • Build ETL packages
  • Optimize SQL workloads
  • Maintain enterprise-scale data platforms
  • Develop data-layer components for new and existing systems

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