Software Engineer - Fabric

Iq-eq; Hyderabad; Hybrid; INR 1,200,000 - 2,400,000; Full time

Job summary

Iq-eq in Hyderabad, India is seeking a data engineer to design, develop, and optimize scalable data solutions with Microsoft Fabric. You will work on Data Pipelines, Lakehouse architectures, and end-to-end ETL/ELT workflows.

The ideal candidate has 2+ years of experience, strong Python and PySpark skills, and expertise in SQL data modeling, governance, and CI/CD practices.

Qualifications

• 2+ years of experience in Microsoft Fabric, Azure Synapse Analytics, or Azure Data Engineering.
• Strong experience with Fabric components: Data Pipelines, Dataflow Gen2, Lakehouse, Fabric Warehouse, SQL Endpoints, and Power BI semantic models.

Responsibilities

• Design, develop, and optimize scalable data solutions in Microsoft Fabric.
• Build and maintain PySpark notebooks for data ingestion, transformation, and cleansing.
• Develop data warehouse solutions using Fabric Warehouse and SQL Endpoints.
• Create SQL queries, stored procedures, views, and incremental data loading processes.
• Ensure data quality, governance, security, and CI/CD deployments.

Skills

Python

PySpark

SQL

Data modeling

CI/CD

Security governance

Tools

Data Pipelines

Dataflow Gen2

Lakehouse

Fabric Warehouse

SQL Endpoints

Power BI

Job description

Role & responsibilities

What You'll Do

• You'll design, develop, and optimize scalable data solutions in Microsoft Fabric, including Data Pipelines, Dataflow Gen2, Lakehouse architectures, and end-to-end ETL/ELT workflows.
• You'll build and maintain PySpark notebooks to perform data ingestion, transformation, cleansing, enrichment, aggregation, and performance optimization.
• You'll develop and support data warehouse solutions using Fabric Warehouse and SQL Endpoints, creating complex SQL queries, stored procedures, views, and incremental data-loading processes.
• You'll design and implement conceptual, logical, and physical data models, including Star and Snowflake schemas, Fact and Dimension tables, and semantic models for Power BI reporting.
• You'll ensure data quality and operational excellence through validation frameworks, monitoring, troubleshooting, Git-based source control, CI/CD deployments, and adherence to governance, security, and compliance standards.

Preferred candidate profile

• You have 2+ years of experience in Microsoft Fabric, Azure Synapse Analytics, or Azure Data Engineering, with hands-on expertise in designing and supporting modern data platforms.
• You possess strong experience with Microsoft Fabric components, including Data Pipelines, Dataflow Gen2, Lakehouse, Fabric Warehouse, SQL Endpoints, and Power BI semantic models.
• You are proficient in Python and PySpark development, with the ability to build, optimize, troubleshoot, and maintain scalable data processing solutions.
• You have advanced SQL and data modeling skills, including ETL/ELT development, Star and Snowflake schema design, Fact and Dimension modeling, and data quality validation.
• You have experience with Git, Azure DevOps, or GitHub, including CI/CD implementation, release management, monitoring, troubleshooting, and working within governance and security best practices.