Databricks Developer

Job Title: Data Bricks Developer

Location: Hyderabad

Work mode: Hybrid

Shift Time: 1:00 PM 10:00 PM

Key Responsibilities

Data Pipeline Development

• Design and develop scalable data pipelines using Azure Databricks, Python, and PySpark.
• Implement ETL/ELT workflows for structured, semi-structured, and unstructured data.
• Develop and maintain data processing workflows using Delta Lake architecture.
• Ensure efficient data ingestion, transformation, and loading processes.

Data Management & Optimisation

• Optimise performance of data pipelines and processing workloads.
• Ensure data quality, reliability, and consistency across data platforms.
• Write and optimise complex SQL queries for data processing and validation.
• Implement data governance and access controls.

Cloud & Data Platform Integration

• Work with Azure Data Lake for storing and managing large datasets.
• Manage data cataloging and governance using Unity Catalog.
• Integrate data workflows with CI/CD pipelines for automated deployments.
• Support scalable and secure cloud-based data architectures.

Collaboration & Migration Projects

• Work closely with cross-functional teams to deliver data-driven solutions.
• Participate in data migration and modernisation initiatives.
• Support troubleshooting and resolution of data pipeline issues.
• Document data architecture, pipelines, and processes

Required Skills & Experience

• Must have 7 years of IT experience and at least 5+ years of hands-on experience in Databricks.
• Design and develop scalable data pipelines using Azure Databricks, SCALA, Python, PySpark, and Delta Lake.
• Have a good understanding of RDBMS and proficiency in writing complex SQL (1st Preference Oracle / PLSQL).
• Implement ETL/ELT workflows for structured, semi-structured, and unstructured data.
• Optimise performance of data processing and ensure data quality standards.
• Work with Azure Data Lake, Unity Catalogue, and integrate with CI/CD pipelines.
• Strong knowledge of Databricks technologies, specifically Delta Lake and Apache Spark, with a focus on implementing data engineering best practices.
• Experience with orchestration tools like Airflow or Azure Data Factory is a plus.
• Have working experience on a migration project.

Relevant Experience Preferred

• Hands-on experience developing data pipelines using Azure Databricks and PySpark.
• Experience implementing ETL/ELT solutions for enterprise data platforms.
• Experience optimizing data processing performance and data workflows.
• Experience working with Azure Data Lake and cloud-based data architectures.
• Experience working on data migration or modernization projects.
• Experience integrating data pipelines with CI/CD workflows.

Interested candidates can share their resumes to ramyalakshmi.kumar@kumaran.com