Data Engineer

Looking for Data Engineer role for one of our client for Bangalore location - 6+yrs exp
Hybrid mode - Bangalore location
• Build scalable ETL/ELT pipelines with Azure Data Factory and Microsoft Fabric
• Develop high-quality SQL transformations and modular DBT data models
• Enable trusted, secure and production-ready data for analytics and reporting
Were looking for a Data Engineer with strong hands-on experience across SQL, DBT, Azure Data Factory (ADF) and Microsoft Fabric. Youll design and maintain reliable data pipelines, develop curated datasets, optimise performance, and implement data quality, governance and CI/CD practices to support reporting, analytics and downstream consumption.
What You’ll Do
You’ll build and operate scalable data solutions across ingestion, transformation, orchestration and delivery, working with BI, analytics and product teams to turn business requirements into reliable data products.
• Design and build scalable ETL/ELT pipelines using Azure Data Factory (ADF) and Fabric Data Factory.
• Implement batch, incremental and CDC-based ingestion from diverse cloud and on-premises data sources.
• Maintain robust orchestration with scheduling, dependency management, retries and monitoring.
• Develop complex SQL transformations, stored procedures, views and analytical datasets.
• Optimise SQL workloads using indexing, partitioning, statistics management and execution-plan tuning.
Essential Experience
• Implement data validation, reconciliation checks and quality rules using SQL-driven logic.
• Build modular, version-controlled DBT models across staging, intermediate and mart layers.
• Implement DBT tests, documentation, macros and incremental models for scalable ELT processing.
• Maintain lineage, quality checks and deployment workflows using DBT Cloud or DBT Core with CI/CD.
Azure & Microsoft Fabric Engineering
• Develop and manage datasets and curated layers using Microsoft Fabric Lakehouse and Warehouse.
• Implement Delta/Parquet-based data structures, schema evolution and medallion architecture patterns.
• Configure and optimise Fabric pipelines, Lakehouse tables, Warehouses and SQL endpoints.
Performance, Quality & Monitoring
• Monitor SQL queries, DBT jobs, ADF pipelines and Fabric workloads; troubleshoot bottlenecks and maintain pipeline reliability.
• Implement automated data-quality checks, SLA monitoring and alerting using Azure Monitor and Log Analytics.
• Apply Azure and Fabric security standards, including RBAC, secrets management, RLS/OLS and workspace governance.
• Maintain Git-based version control and deploy pipelines, DBT models and Fabric assets through Azure DevOps or GitHub Actions.
• ADF, Microsoft Fabric, Fabric Data Factory, Lakehouse, Warehouse, Power BI semantic models, DAX, Power Query (M), DBT, SQL performance tuning, incremental loads, CI/CD, Azure DevOps, GitHub Actions, governance, RLS/OLS and monitoring. Role & responsibilities

Preferred candidate profile