Brillio 24mo ago

Lead Data Engineer - R01558812

India·ChennaiEmployeelead

Data ScienceData EngineeringData EngineerDataData & AI

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Quick Summary

Overview

Lead Data Engineer AKS, Event Hub, Azure DevOps, Cosmos DB, Azure Functions Azure Data Engineering Advanced: Senior Data Engineer Job Description We are seeking a Senior Data Engineer with strong hands‑on expertise in Azure Data Platform and Microsoft Fabric to design, build, and scale…

Key Responsibilities

Design, develop, and manage end‑to‑end data pipelines using Microsoft Fabric (Data Pipelines, Lakehouse, Warehouse, OneLake) and Azure Data Factory Build scalable data transformation and processing solutions using Fabric Notebooks, PySpark, Python,…

Technical Tools

azurepower-bipythonsnowflakesparksqlci-cddatabase-designetlmentoringperformance-optimizationstakeholder-management

Lead Data Engineer

AKS, Event Hub, Azure DevOps, Cosmos DB, Azure Functions

Azure Data Engineering Advanced: Senior Data Engineer

We are seeking a Senior Data Engineer with strong hands‑on expertise in Azure Data Platform and Microsoft Fabric to design, build, and scale modern, enterprise‑grade data solutions. The role involves working on end‑to‑end data engineering pipelines, lakehouse architectures, and analytics‑ready data models using Azure and Fabric’s unified analytics capabilities.

Responsibilities

~1 min read

→Design, develop, and manage end‑to‑end data pipelines using Microsoft Fabric (Data Pipelines, Lakehouse, Warehouse, OneLake) and Azure Data Factory

→Build scalable data transformation and processing solutions using Fabric Notebooks, PySpark, Python, and SQL

→Implement Lakehouse and Medallion Architecture (Bronze, Silver, Gold) to support analytics and reporting workloads

→Develop and optimize SQL-based solutions including T‑SQL, stored procedures, and performance‑tuned queries

→Integrate data from multiple sources including RDBMS, APIs, files, streaming sources, and cloud storage

→Work with ADLS Gen2, Blob Storage, and OneLake for structured and unstructured data management

→Enable analytics and reporting by integrating Fabric datasets with Power BI

→Implement data quality checks, monitoring, logging, and error‑handling mechanisms

→Support migration and modernization initiatives from ADF / Databricks to Microsoft Fabric, where applicable

→Ensure adherence to data governance, security, lineage, and compliance standards (Microsoft Purview exposure preferred)

→Collaborate closely with architects, analysts, and business stakeholders to translate requirements into scalable data solutions

→Provide technical guidance and mentoring to junior engineers

Microsoft Fabric (Data Pipelines, Lakehouse, Warehouse, OneLake)

Azure Data Factory (ADF)

Azure Data Lake Storage Gen2 (ADLS G2)

Azure Blob Storage

SQL (Basic & Advanced)

T‑SQL

Stored Procedures

Python

PySpark / Spark SQL

ETL / ELT Fundamentals

Modern Data Platform Concepts

Data Warehousing & Lakehouse Architecture

Data Modeling Fundamentals (Star / Snowflake schemas)

Incremental loads, CDC, and watermarking techniques

Pipeline monitoring & performance optimization

Azure Monitoring / Fabric monitoring tools

Microsoft Purview (Data lineage & governance – good to have)

Experience with streaming or near real‑time processing

Exposure to Databricks in hybrid Azure–Fabric environments

CI/CD for data pipelines using Git / Azure DevOps

Experience supporting enterprise‑scale analytics platforms

Strong problem‑solving and analytical mindset

Excellent communication and stakeholder management skills

Ability to work independently in fast‑paced delivery environments

Ownership mindset with focus on quality and reliability

What We Offer

~1 min read

Work on cutting‑edge Azure & Microsoft Fabric implementations

Exposure to large‑scale enterprise modernization programs

Growth opportunities across cloud, data platforms, and analytics

Collaborative, high‑impact engineering culture

✓Work on cutting‑edge Azure & Microsoft Fabric implementations

✓Exposure to large‑scale enterprise modernization programs

✓Growth opportunities across cloud, data platforms, and analytics

✓Collaborative, high‑impact engineering culture

Location & Eligibility

Where is the job

Chennai, India

Hybrid — some on-site time required

Who can apply

Listed under

India

Listing Details

Posted: January 6, 2026
First seen: March 26, 2026
Last seen: May 23, 2026

Posting Health

Days active: 58
Repost count: 0
Trust Level: 25%
Scored at: May 23, 2026

Signal breakdown

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Lead Data Engineer - R01558812

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