Data Engineer

Ascendion; Hyderabad; On-site; INR 2,100,000 - 3,500,000; Full time

Job summary

Ascendion, Hyderabad, is seeking a Microsoft Data Engineer with 7+ years of hands-on experience in Microsoft Fabric, OneLake, PySpark, Python and SQL to build scalable data pipelines and analytics solutions. The role involves designing and optimizing data platforms, integrating Azure data services, and collaborating with analysts and engineers to deliver reliable data solutions.

You will apply data quality practices, performance monitoring, and cloud-based data solutions, while leveraging GitHub

Qualifications

• 7+ years of data engineering experience in Microsoft data ecosystem.
• Strong hands-on experience with data pipelines, ETL/ELT, and data transformation.
• Experience with large-scale data processing and cloud data platforms.

Responsibilities

• Design, develop, and maintain scalable data pipelines and data engineering solutions using Microsoft Fabric.
• Work with Microsoft OneLake for data storage, integration, and management.
• Develop data transformation and processing solutions using PySpark and Python.
• Write and optimize complex SQL/PSQL queries for data extraction, transformation, and analysis.
• Build and maintain ETL/ELT workflows within the Microsoft Fabric ecosystem.
• Collaborate with data analysts, architects, and engineering teams to deliver reliable data solutions.
• Implement data quality, performance optimization, and monitoring practices.
• Use GitHub for source control and collaborative development.
• Leverage GitHub Copilot and other AI-assisted tools to improve productivity.

Skills

Microsoft Fabric

OneLake

PySpark

Python

SQL/PSQL

Data Engineering concepts

Tools

Databricks

GitHub

Job description

Job Description – Microsoft Data Engineer

Job Title: Microsoft Data Engineer

Employment Type: Full-Time

Role Overview

We are looking for a Microsoft Data Engineer with Minimum 7 Years exp, with strong hands‑on experience in Microsoft Fabric, OneLake, PySpark, Python, and SQL. The ideal candidate will be responsible for building and optimizing modern data pipelines, data platforms, and analytics solutions using Microsoft’s data ecosystem.

Key Responsibilities

• Design, develop, and maintain scalable data pipelines and data engineering solutions using Microsoft Fabric.
• Work extensively with Microsoft OneLake for data storage, integration, and management.
• Develop data transformation and processing solutions using PySpark and Python.
• Write and optimize complex SQL/PSQL queries for data extraction, transformation, and analysis.
• Build and maintain ETL/ELT workflows within the Microsoft Fabric ecosystem.
• Work with Azure data services and integrate cloud-based data solutions.
• Collaborate with data analysts, architects, and engineering teams to deliver reliable data solutions.
• Implement data quality, performance optimization, and monitoring practices.
• Use GitHub for source control and collaborative development.
• Leverage GitHub Copilot and other AI‑assisted development tools to improve engineering productivity.

Mandatory Skills

• Microsoft Fabric
• OneLake
• PySpark
• Python
• SQL / PSQL
• Strong understanding of Data Engineering concepts, ETL/ELT, data pipelines, and data transformation

Good‑to‑Have Skills

• Databricks
• GitHub
• Experience working with modern cloud data platforms and lakehouse architecture.

Experience

• 5+ years of experience in Data Engineering or a related role.
• Strong hands‑on experience with the Microsoft data ecosystem.
• Experience working with large‑scale data processing and cloud‑based data platforms.