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Data Engineer(Azure)

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Onsite

Data Engineer(Azure)

Fabric

Data Engineer(Azure)

Skills

SQL QueriesData EngineeringPythonDatabricksPySparkAzure

15 days ago

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Important information


Contract type:

Permanent

Salary:

₹800,000 – ₹1,500,000 / year

Location:

Bengaluru, Karnataka, India

Work mode:

Onsite

Published on:

6 October 2026

What they need


About Company

Tibil Solutions is a technology solutions company that helps businesses build and implement scalable software and data-driven solutions. The company focuses on leveraging modern technologies to solve complex business and technology challenges.

About Job

We are looking for a Data Engineer (Azure) with 3-6 years of experience to design, develop, and maintain scalable data pipelines and data solutions using Microsoft Azure. The role involves working with Azure Data Factory, Databricks, ADLS Gen2, PySpark, Python, and SQL to build reliable ETL/ELT pipelines and optimize data processing.

This is a full-time, Hybrid (In-Office) role based in Bengaluru.

Roles and Responsibilities:

  • Design and develop scalable data pipelines using Azure Data Factory, Azure Databricks, and other Azure services.
  • Build and maintain robust ETL/ELT pipelines for data integration and transformation.
  • Develop data processing solutions using PySpark and Python.
  • Work with Azure Data Lake Storage Gen2, Azure SQL Database, and other Azure data services.
  • Design and implement effective data models and data storage solutions.
  • Monitor, troubleshoot, and optimize data pipelines for performance, reliability, and cost efficiency.
  • Collaborate with business and technical stakeholders to understand requirements and deliver data solutions.
  • Implement appropriate data security, privacy, and governance practices.
  • Maintain documentation for data pipelines, workflows, and architectures.

Must Have Skills

Azure Data Factory, Azure Databricks, ADLS Gen2, PySpark, Python, SQL, ETL/ELT, Data Engineering, Data Modeling

Experience: 3+ years of hands-on experience in Azure Data Engineering.

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