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Senior Data Engineer

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Onsite

Senior Data Engineer

Mergen Corporates

Senior Data Engineer

Skills

SQL QueriesData EngineeringData AnalysisPower BIAzure

16 days ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Onsite

Published on:

7 October 2026

What they need


Data engineer

Job Description for Profile:

Location Mumbai/Pune/Bangalore

Must Have

  • 7-10 Years Overall experience
  • Design and implement data pipelines using Microsoft Fabric (Data Factory, Dataflows, Synapse, Lakehouse).
  • Develop and optimize ETL/ELT processes for structured and unstructured data.
  • Manage and maintain data lakes, warehouses, and lake houses within Fabric.
  • Collaborate with data analysts, BI developers, and business stakeholders to deliver end-to-end analytics solutions.
  • Build and maintain Power BI datasets, reports, and dashboards integrated with Fabric.
  • Collaborate with business teams to translate requirements into data models and visualizations.
  • Ensure data quality, governance, and security across all data assets.
  • Monitor and troubleshoot data workflows, ensuring high availability and performance.
  • Automate workflows and contribute to CI/CD practices for data engineering.
  • Stay updated with emerging features in Microsoft Fabric and recommend adoption strategies.
  • Should have sound knowledge on database concepts like Entity-relationship, Data modeling, DDL and DML statements etc.
  • Advance knowledge of Azure SQL DB & Synapse Analytics, Power BI, SSIS, SSRS, T-SQL, Logic Apps
  • Should be able to analyze and understand complex data
  • Good experience in writing complex SQL queries, Analytical functions, Joins, Indexes, functions, and stored procedures.
  • Understanding of data lineage and good in building such frameworks
  • Works closely with all business units and engineering teams to develop strategy for long term data platform architecture
  • Experience in various data cleansing techniques
  • Understand business requirement and actively provide inputs from Data perspective
  • Understand the underlying data and flow of data.

[email protected]

LinkedIn iD- www.linkedin.com/in/navyadadi1630

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