We are looking for a

Senior Data Engineer – Microsoft Fabric & Azure

with

10–15 years of experience in Data Engineering

to design, build, and optimize modern cloud data platforms.
The ideal candidate will have strong hands-on experience across

Microsoft Fabric and Microsoft Azure , with expertise in building scalable data solutions using Lakehouse, Data Factory, Data Warehouse, Real-Time Intelligence, Azure Synapse, Azure Data Lake Storage Gen2, PySpark, Spark, SQL, and T-SQL.

You will work on modern data platforms that enable organizations to transform complex data into reliable, actionable business insights.

Key Responsibilities
Design and implement scalable, secure, and high-performance data engineering solutions using

Microsoft Fabric and Azure .
Build and optimize

Microsoft Fabric Lakehouse, Data Warehouse, Data Factory, and Real-Time Intelligence

solutions.
Develop robust data ingestion and transformation pipelines using

Azure Data Factory

and Microsoft Fabric.
Design and manage data storage solutions using

Azure Data Lake Storage Gen2 .
Build data transformation and processing workloads using

PySpark and Spark Notebooks .
Develop complex SQL and T-SQL queries for data transformation, analysis, and performance optimization.
Work with

Azure Synapse Analytics

for large-scale data processing and analytics workloads.
Implement data integration, orchestration, and transformation pipelines following best practices.
Optimize data pipelines and workloads for performance, scalability, reliability, and cost efficiency.
Implement appropriate security, governance,



and access controls across cloud data platforms.
Collaborate with data analysts, BI developers, architects, and business stakeholders to deliver end-to-end data solutions.
Support

Power BI

integrations and enable data models and datasets for business intelligence and reporting.
Implement CI/CD practices for data engineering workloads using

Azure DevOps .
Troubleshoot production data pipelines and resolve performance, reliability, and data quality issues.
Contribute to data architecture, engineering standards, and modernization initiatives.

Required Skills & Experience
10–15 years of professional experience in Data Engineering .
Strong hands-on experience with

Microsoft Fabric .
Experience with Microsoft Fabric components including:
Fabric Lakehouse
Fabric Data Factory
Fabric Data Warehouse
Fabric Real-Time Intelligence
Strong experience with

Microsoft Azure data services .
Hands-on experience with

Azure Data Factory .
Strong experience with

Azure Synapse Analytics .
Experience working with

Azure Data Lake Storage Gen2 (ADLS Gen2) .
Strong hands-on experience with

PySpark and Apache Spark .
Strong SQL and

T-SQL

development skills.




Experience designing and optimizing data pipelines and ETL/ELT processes.
Experience with cloud data architecture, data integration, and data transformation.
Experience working with

Azure DevOps and CI/CD

for data engineering workflows.
Experience with

Power BI

and supporting analytics/BI workloads.
Strong understanding of data engineering best practices, performance optimization, scalability, and data quality.

Preferred Skills
Experience designing enterprise-scale

Microsoft Fabric

data platforms.
Experience with Fabric Real-Time Intelligence and real-time data processing.
Robust understanding of Lakehouse and modern data architecture patterns.
Experience implementing data governance and security within Azure/Fabric environments.
Experience with automated deployment and infrastructure management for data platforms.
Experience working in large-scale cloud migration or data modernization programs.
Microsoft Azure or Fabric certifications are a plus.

What We're Looking For
Strong senior-level data engineering expertise with a focus on Microsoft technologies.
Ability to design and implement enterprise-grade cloud data platforms.
Strong problem-solving and performance optimization skills.
Ability to work across data engineering, analytics, BI, and cloud infrastructure teams.
Strong communication skills and the ability to work with both technical and business stakeholders.
A continuous-learning mindset with an interest in modern data platforms and Microsoft Fabric.

📌 Senior Data Engineer – Microsoft Fabric & Azure (Mumbai)
🏢 Acveti
📍 Mumbai