Azure Data Engineer

Kluster First; Dadri; Hybrid; INR 1,200,000 - 2,000,000; Full time

Job summary

KlusterFirst Private Limited is seeking a Microsoft Fabric Data Engineer in Noida/Remote/Hybrid. The role requires 4–6 years of data engineering experience with Azure data services and modern data platforms.

The candidate will design, build, and optimize scalable data pipelines using Microsoft Fabric, SQL, PySpark, and ETL/ELT processes, delivering reliable analytics solutions. This role offers full-time employment and collaboration with cross-functional teams.

Qualifications

• 4–6 years of experience in Data Engineering.
• Hands-on with Microsoft Fabric, Data Factory, Lakehouse, Data Warehouse, OneLake, PySpark, SQL, and ETL/ELT pipelines.

Responsibilities

• Design and implement scalable data engineering solutions using Microsoft Fabric.
• Develop and manage Fabric Lakehouse, Warehouse, and OneLake solutions.
• Implement Medallion Architecture (Bronze, Silver, Gold).
• Build and optimize ETL/ELT pipelines using Fabric Data Factory.
• Work with Dataflows Gen2, Notebooks, and Spark-based transformations.

Skills

Microsoft Fabric

Data engineering

Azure data services

PySpark

SQL

ETL/ELT pipelines

Data workflows

Tools

Microsoft Fabric

Data Factory

Lakehouse

OneLake

Delta Lake

Job description

Job Description Microsoft Fabric Data Engineer

Company: KlusterFirst Private Limited
Position: Microsoft Fabric Data Engineer
Experience: 46 Years
Location: Noida / Remote / Hybrid (as applicable)
Employment Type: Full-Time
Joining Preference: Immediate to 30 Days

Job Summary

We are looking for a skilled Microsoft Fabric Data Engineer with 4–6 years of experience in Data Engineering, Azure Data Services, and modern data platform development.

The ideal candidate should have hands‑on experience with Microsoft Fabric, Data Factory, Lakehouse, Data Warehouse, OneLake, PySpark, SQL, and ETL/ELT pipelines.

The candidate will be responsible for designing, developing, optimizing, and maintaining scalable data pipelines and modern analytics solutions using Microsoft Fabric.

Key Responsibilities

1. Microsoft Fabric Development

• Design and implement scalable data engineering solutions using Microsoft Fabric.
• Develop and manage Fabric Lakehouse, Warehouse, and OneLake solutions.
• Implement Medallion Architecture (Bronze, Silver, Gold).
• Build and optimize ETL/ELT pipelines using Fabric Data Factory.
• Work with Dataflows Gen2, Notebooks, and Spark-based transformations.
• Develop and maintain Delta Lake tables and data models.

2. Data Integration & Engineering

• Integrate data from SQL Server, Azure SQL, REST APIs, ADLS Gen2, and other enterprise sources.
• Design incremental data loading, CDC-based ingestion, and batch processing.
• Develop data transformation logic using SQL, Python, and PySpark.
• Implement data validation, cleansing, deduplication, and quality checks.
• Build reusable, parameterized, and metadata-driven data pipelines.