Sr. Data Engineer- Databricks

Details

• Design, develop, and maintain robust and scalable data pipelines using Apache Spark and cloud-native data services.
• Build, optimize, and support ETL/ELT workflows to enable analytics, reporting, and downstream applications.
• Implement and manage data solutions using Databricks, Delta Lake, and Unity Catalog.
• Ensure data quality, reliability, and performance across large-scale and complex datasets.
• Collaborate with cross-functional teams to gather data requirements and translate them into effective technical solutions.
• Apply data engineering best practices related to scalability, security, monitoring, and maintainability.
• Support the continuous improvement of data architecture, pipeline performance, and operational stability in a cloud environment.
• 7+ years of experience in data engineering or a related technical role.
• Strong hands-on experience with Databricks and Apache Spark are required.
• Experience working with Delta Lake and Unity Catalog for data management and governance.
• Solid understanding of data pipeline design, ETL/ELT patterns, and data modeling concepts.
• Experience working with cloud data platforms such as Azure, AWS, or GCP.
• Proven ability to design scalable, reliable, and high-performing data solutions.
• Strong problem-solving skills and the ability to work effectively in collaborative, fast-paced environments.