Data Engineer (Databricks)

About the Role

We are seeking highly skilled Data Engineers with 4+ years hands-on experience in Databricks and strong expertise in data engineering, ETL pipelines, and cloud-based data platforms. The ideal candidate will design, build, and maintain large-scale data processing systems, enabling high-quality data flow and analytics for business insights.

Key Responsibilities

• Design, develop, and optimize ETL / data transformation pipelines using Python, PySpark, and Apache Spark.
• Build and manage scalable data architectures for handling large and complex datasets.
• Work extensively on Databricks and Delta Lake, ensuring efficient data storage and processing.
• Collaborate with cross-functional teams to deliver data solutions across multiple domains.
• Leverage cloud platforms like AWS (Glue, EMR), Snowflake, Dataiku, and Alteryx for data engineering workflows.
• Implement best practices in data modeling, data warehousing, and data governance for both on-prem and cloud environments.
• Continuously evaluate emerging technologies and tools to enhance data engineering capabilities.
• Troubleshoot, optimize, and ensure performance of data pipelines and analytical systems.
• Take ownership of technical deliverables, contributing to project leadership and independent execution.

Required Skills & Experience