Databricks Data Engineer

Job Summary

We are seeking a hands-on Databricks Data Engineer with experience building scalable data pipelines and supporting cloud-based data engineering initiatives. The ideal candidate will have strong expertise in Databricks, Apache Spark, Python, and SQL, with experience developing ETL/ELT workflows across cloud platforms.

Key Responsibilities

• Design, develop, and manage scalable data pipelines using Databricks.
• Build and optimize ETL/ELT workflows for data ingestion, transformation, and integration.
• Utilize Apache Spark, Python, and SQL for data processing and analytics.
• Collaborate with data engineers, analysts, and business stakeholders to deliver reliable data solutions.
• Ensure data quality, performance optimization, and efficient pipeline execution.
• Support cloud-based data engineering initiatives across Azure, AWS, or GCP environments.

Required Skills & Experience

• Strong hands-on experience with Databricks.
• Proficiency in Apache Spark, Python, and SQL.
• Experience designing and maintaining ETL/ELT pipelines.
• Knowledge of cloud platforms such as Azure, AWS, or GCP.
• Strong understanding of data integration, transformation, and performance optimization.
• Excellent analytical, problem-solving, and collaboration skills.

Preferred Skills

• Experience working in modern cloud data platforms and analytics environments.
• Familiarity with data governance and best practices for scalable data engineering solutions