Azure Databricks Engineer

Role Overview

We are looking for an experienced Azure Databricks Engineer with strong expertise in Databricks, Snowflake, and ETL/ELT pipeline development. The candidate will be responsible for building scalable, high-performance data solutions on Azure to support analytics and business use cases.

Responsibilities

• Design and develop scalable data pipelines using Azure Databricks (PySpark)
• Build and maintain robust ETL/ELT workflows for large-scale data processing
• Develop and optimize complex SQL queries in Snowflake for analytics and reporting
• Integrate data pipelines using Azure services such as ADF, ADLS, and Synapse
• Design and manage Snowflake data warehouse structures
• Perform performance tuning of Spark jobs and Snowflake workloads
• Implement data quality, validation, governance, and monitoring mechanisms
• Collaborate with business stakeholders to gather requirements and deliver data solutions
• Troubleshoot and resolve data pipeline and production issues

Requirements

• 4 to 10 years of experience in Data Engineering
• Strong hands-on experience with Azure Databricks and PySpark
• Extensive experience with Snowflake (data modeling, optimization, ETL/ELT pipelines)
• Strong proficiency in SQL and Python
• Experience with Azure services: Data Factory (ADF), Data Lake (ADLS), Synapse
• Solid understanding of data warehousing, ETL processes, and pipeline architecture
• Experience with version control and CI/CD tools (Git, Azure DevOps)

Skills

• Azure Databricks
• Snowflake
• PySpark
• Python
• SQL

Benefits

• Competitive salary and benefits package
• Culture focused on talent development with quarterly growth opportunities
• Opportunity to work with cutting-edge technologies
• Employee engagement initiatives and flexible work hours
• Comprehensive insurance coverage including health and life insurance