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Azure Databricks Engineer | Codersbrain

full-time
Posted on August 5, 2025

Job Description

Azure Databricks Engineer

Company Overview

(Company overview is not specified.)

Job Summary

The Azure Databricks Engineer will play a crucial role in developing, maintaining, and optimizing data processing and analytics pipelines using Azure Databricks. The position requires a strong background in data modeling, PySpark, and SQL to ensure efficient data governance and management within the enterprise.

Responsibilities

  • Develop, maintain, and optimize PySpark notebooks on Azure Databricks for data processing and analytics pipelines.
  • Implement and manage Spark Structured Streaming solutions for real-time data processing.
  • Work extensively with Spark SQL and Unity Catalog to manage and govern enterprise datasets.
  • Design and implement robust data models supporting efficient querying and data integrity.
  • Write complex SQL queries and optimize them for performance and scalability.
  • Collaborate with cross-functional teams, including Data Scientists, Analysts, and Architects, to understand data requirements.

Qualifications

  • Hands-on experience with Azure Databricks, PySpark, and Spark SQL.
  • Proficiency in Spark Structured Streaming.
  • Experience with Unity Catalog for data governance.
  • Strong SQL skills for data extraction, transformation, and analysis.
  • Solid understanding of Data Modeling principles.
  • Bachelor’s degree in Computer Science, Engineering, or a related field preferred.
  • 6-9 years of relevant experience in data engineering or related roles.

Preferred Skills

  • Experience in CI/CD pipelines for Databricks.
  • Knowledge of Delta Lake and Data Lakehouse concepts.
  • Familiarity with Azure Data Factory or other orchestration tools.

Experience

  • A minimum of 6-9 years of relevant experience in Azure Databricks and associated technologies.

Environment

  • The position is hybrid, located PAN India, allowing flexibility for remote and in-office work.

Salary

(Salary information is not specified.)

Growth Opportunities

(Growth opportunities are not specified.)

Benefits

(Benefits information is not specified.)

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