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Data Engineer

Ascendion

HyderabadFull-timeMid LevelOn-site

Job Description

Job Description โ€“ Microsoft Data Engineer

Job Title: Microsoft Data Engineer

Location: Hydrabad

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 Microsoftโ€™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

  • Azure
  • Azure Data Services
  • Databricks
  • ADS (Azure Data Studio)
  • GitHub
  • GitHub Copilot
  • 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.


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