Data Engineer (India)

Data Engineer (India)

29 Sep
|
Ascendion
|
India

29 Sep

Ascendion

India

Job Description – 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, One Lake, 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 One Lake
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
Git Hub
for source control and collaborative development. Leverage
Git Hub Copilot
and other AI-assisted development tools to improve engineering productivity. Mandatory Skills Microsoft Fabric One Lake 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) Git Hub Git Hub Copilot Experience working with up-to-date 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.

📌 Data Engineer (India)
🏢 Ascendion
📍 India

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