Senior Data Engineer (Microsoft Fabric & Azure Data Platform)

Coforge; Dadri, Hyderabad, Pune District; On-site; INR 2,500,000 - 4,200,000; Full time

Job summary

Coforge is seeking a Senior Data Engineer in India to design and build scalable cloud data solutions using Microsoft Fabric, Azure, Spark, SQL and Python. You will design ETL/ELT pipelines, construct Lakehouse and Data Warehouse architectures, and support batch and streaming data processing.

The role emphasizes data modeling, data quality, and CI/CD practices, working with stakeholders across teams in a cloud-first environment.

Qualifications

• 6–10 years of experience in building scalable cloud data solutions.
• Proficient with Microsoft Fabric, Azure, Spark, SQL and Python.
• Experience with data pipelines, data warehousing and data governance is a plus.

Responsibilities

• Design and develop ETL/ELT pipelines using Fabric Data Factory, Spark and SQL.
• Build Lakehouse and Data Warehouse solutions in Fabric.
• Develop batch and streaming pipelines using Kafka/Event Hub.

Skills

SQL

Python

Spark/PySpark

DataOps

CI/CD

Tools

Microsoft Fabric

Azure Data Factory

Synapse

Databricks

Delta Lake

Job description

Job Description

We are seeking a Senior Data Engineer with 6-10 years of experience in building scalable cloud data solutions using Microsoft Fabric, Azure, Spark, SQL, and Python.

Key Responsibilities

• Design and develop ETL/ELT pipelines using Microsoft Fabric Data Factory, Spark, and SQL.
• Build and maintain Lakehouse and Data Warehouse solutions in Fabric.
• Develop batch and streaming data pipelines using Kafka/Event Hub.
• Implement data modeling, transformation, and data quality processes.
• Optimize pipeline performance, scalability, and cost efficiency.
• Support data governance initiatives using Microsoft Purview.
• Implement CI/CD, Git integration, and DataOps best practices.
• Collaborate with architects, analysts, and business stakeholders to deliver data solutions.

Required Skills

• Microsoft Fabric (Data Factory, Lakehouse, Data Warehouse, OneLake)
• SQL, Python, Spark/PySpark
• Azure Data Factory, Synapse, or Databricks
• Delta Lake, Data Warehousing, ETL/ELT
• Kafka/Event Hub, APIs, JSON, Parquet
• CI/CD, Git, DataOps