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Azure Databricks Engineer

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Remote

Azure Databricks Engineer

Proso Ai Technologies

Azure Databricks Engineer

Skills

SQL QueriesBig DataData EngineeringPythonDatabricksGitData AnalysisAIPySparkAzure

1 month ago

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Important information


Contract type:

Permanent

Salary:

₹2,000,000 – ₹3,500,000 / year

Location:

Noida, Uttar Pradesh, India

Work mode:

Remote

Published on:

14 September 2026

What they need


We are looking for an experienced Azure Databricks Engineer to join our team on a full-time basis. The ideal candidate should have strong hands-on experience with Azure Databricks, data engineering, and building scalable data solutions on the Azure platform.

Role Details

  • Position: Azure Databricks Engineer
  • Experience: 7+ years of relevant experience
  • Employment Type: Full-Time
  • Joining: Immediate Joiners preferred
  • Shift: Starting from 2:00 PM IST

Key Responsibilities

  • Design, develop, and maintain scalable data engineering solutions using Azure Databricks.
  • Develop and optimize ETL/ELT pipelines for large-scale data processing.
  • Work extensively with PySpark, Spark SQL, and Python.
  • Build and manage data pipelines using Azure Data Factory (ADF) and other Azure data services.
  • Implement data ingestion, transformation, cleansing, and aggregation processes.
  • Optimize Spark jobs, Databricks notebooks, clusters, and SQL queries for performance and cost efficiency.
  • Work with Azure Data Lake Storage (ADLS) and modern data lake/lakehouse architectures.
  • Implement data quality, monitoring, error handling, and operational best practices.
  • Collaborate with data architects, analysts, developers, and business stakeholders to deliver data solutions.
  • Follow CI/CD, version control, and deployment best practices across data engineering workloads.

Required Skills

  • 7+ years of relevant experience in Data Engineering / Big Data.
  • Strong hands-on experience with Azure Databricks.
  • Excellent knowledge of PySpark, Apache Spark, Python, and SQL.
  • Strong experience with Azure Data Factory (ADF).
  • Experience with Azure Data Lake Storage (ADLS).
  • Good understanding of Delta Lake and Lakehouse architecture.
  • Experience in performance tuning and optimization of Spark/Databricks workloads.
  • Hands-on experience with data integration and ETL/ELT processes.
  • Good understanding of cloud-based data engineering concepts.
  • Experience with Git and CI/CD practices.

Preferred

  • Experience with Databricks Workflows, Unity Catalog, and Delta Live Tables (DLT).
  • Knowledge of Azure Synapse Analytics or other Azure data services.
  • Experience working with enterprise-scale data platforms.
  • Databricks or Azure certifications would be an advantage.

Who We're Looking For

We are particularly interested in candidates who can join immediately and are comfortable working in a shift starting at 2:00 PM IST.

Interested candidates can share their updated resume with us to explore this opportunity with Proso AI.

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