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Azure Data Engineer (Databricks)- US MNC

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Hybrid

Azure Data Engineer (Databricks)- US MNC

Aspyra Hr Services

Azure Data Engineer (Databricks)- US MNC

Skills

SQL QueriesTableauPythonDatabricksData AnalysisPySparkPower BIAzure

23 days ago

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Important information


Contract type:

Permanent

Salary:

₹2,500,000 – ₹4,000,000 / year

Location:

Bengaluru, Karnataka, India

Work mode:

Hybrid

Published on:

28 September 2026

What they need


Job Title: Data Engineer Azure Databricks

Location: Pan India / Hybrid
Experience: 4-10 Years

Mandatory Skills: Azure, Azure Databricks & BI Tool (Power BI/Tableau)

Job Summary

We are looking for a Data Engineer with strong hands-on experience in Azure data services and Databricks to build scalable data pipelines and enable analytics solutions. The role involves designing modern data platforms and supporting BI reporting using tools like Power BI or Tableau.

Key Responsibilities

  • Design, develop, and maintain scalable data pipelines using Azure Databricks
  • Build and optimize ETL/ELT workflows using PySpark, SQL
  • Work with Azure data services such as Azure Data Factory, ADLS, Synapse
  • Develop data models and curated datasets for BI reporting
  • Enable dashboards and reporting using Power BI / Tableau
  • Ensure data quality, performance optimization, and governance standards
  • Collaborate with analytics, business, and engineering teams

Required Skills

  • Strong experience in Azure Databricks, PySpark, SQL
  • Hands-on experience with Azure Data Factory, Data Lake, Synapse
  • Experience supporting Power BI or Tableau reporting environments
  • Understanding of data warehousing concepts and dimensional modeling
  • Experience in performance tuning and pipeline optimization
  • Good problem-solving and stakeholder communication skills

Preferred Skills

  • Experience with Delta Lake, Lakehouse architecture
  • Knowledge of Python and workflow orchestration
  • Exposure to cloud security and data governance
  • Experience in analytics or enterprise data platforms

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