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.)