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Job Description

We are looking for an experienced Azure Databricks Engineer with strong hands-on expertise in Python, SQL, and Apache Spark to design, build, and optimize scalable data pipelines and analytics solutions on the Azure cloud platform. The ideal candidate should have experience working with large datasets, distributed data processing, and modern data engineering practices.

Responsibilities

Design, develop,



and maintain scalable data pipelines using Azure Databricks

Implement ETL/ELT workflows using PySpark, Spark SQL, and Python

Optimize Spark jobs for performance, cost, and scalability

Work with structured and semi-structured data (Parquet, Delta, JSON, CSV)

Build and manage Delta Lake tables (ACID, time travel, schema evolution)

Integrate Databricks with Azure Data Lake Storage (ADLS Gen2)

Develop complex queries and transformations using SQL

Collaborate with data scientists, analysts, and stakeholders to support analytics and ML use cases

Ensure data quality, validation, and monitoring

Follow best practices for security, access control, and governance in Azure

Qualifications

4+ years of experience in Data Engineering

Strong hands-on experience with Azure Databricks

Proficiency in Python for data processing

Solid knowledge of SQL (joins, window functions, performance tuning)

Hands-on experie

📌 Databricks Engineer (Hyderabad)
🏢 Blend
📍 Hyderabad