Lead Data Engineer

0 years

20 - 35 Lacs

Posted:1 day ago| Platform: Linkedin logo

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On-site

Job Type

Full Time

Job Description

We are seeking a highly skilled

Fabric Data Engineer

with strong expertise in

Azure ecosystem

to design, build, and maintain scalable data solutions. The ideal candidate will have hands-on experience with

Microsoft Fabric, Databricks, Azure Data Factory, PySpark, SQL, and other Azure services

to support advanced analytics and data-driven decision-making.

Key Responsibilities

  • Design, develop, and maintain scalable data pipelines using Microsoft Fabric and Azure data services.
  • Implement data integration, transformation, and orchestration workflows with Azure Data Factory, Databricks, and PySpark.
  • Work with stakeholders to understand business requirements and translate them into robust data solutions.
  • Optimize performance and ensure data quality, reliability, and security across all layers.
  • Develop and maintain data models, metadata, and documentation to support analytics and reporting.
  • Collaborate with data scientists, analysts, and business teams to deliver insights-driven solutions.
  • Stay updated with emerging Azure and Fabric technologies to recommend best practices and innovations.
  • Required Skills & Experience
  • Proven experience as a Data Engineer with strong expertise in the Azure cloud ecosystem.

Hands-on Experience With

  • Microsoft Fabric
  • Azure Databricks
  • Azure Data Factory (ADF)
  • PySpark & Python
  • SQL (T-SQL/PL-SQL)
  • Solid understanding of data warehousing, ETL/ELT processes, and big data architectures.
  • Knowledge of data governance, security, and compliance within Azure.
  • Strong problem-solving, debugging, and performance tuning skills.
  • Excellent communication and collaboration abilities.

Preferred Qualifications

  • Microsoft Certified: Fabric Analytics Engineer Associate / Azure Data Engineer Associate.
  • Experience with Power BI, Delta Lake, and Lakehouse architecture.
  • Exposure to DevOps, CI/CD pipelines, and Git-based version control.
Skills:- databricks, Microsoft Windows Azure, PySpark, Python, SQL, Stored Procedures and Microsoft Office

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