Databricks Data Engineer

Job Title: Databricks Data Engineer Location: Remote Experience: 6+ Years Notice Period: Immediate Joiners Preferred About the Role We are looking for a skilled Databricks Data Engineer to design, develop, and optimize scalable data solutions using Databricks SQL . The ideal candidate should have strong expertise in SQL, performance tuning, and cloud-based data platforms such as AWS, Azure, or GCP. Key Responsibilities Develop, maintain, and optimize SQL queries and notebooks in Databricks for data transformation, aggregation, and analytics. Optimize Databricks SQL workloads for performance, scalability, and cost efficiency. Monitor, debug, and troubleshoot SQL queries, dashboards, and workflows. Work with large-scale datasets in distributed computing environments. Collaborate with data engineers, analysts, and stakeholders to deliver data-driven solutions. Implement best practices for query performance tuning, caching, and indexing strategies. Build and maintain data pipelines using Databricks Workflows and Delta Live Tables . Required Qualifications 6years of hands-on experience in SQL development and query optimization. Strong expertise in Databricks SQL , Delta Lake , and Lakehouse architecture . Experience with cloud platforms such as AWS, Azure, or GCP (preferably Azure Databricks or AWS Databricks). Good understanding of performance tuning, caching strategies, and query optimization techniques. Familiarity with ETL/ELT frameworks , Data Warehousing , and BI tools . Hands-on experience with: Databricks Notebooks Databricks Workflows Delta Live Tables Ability to handle large datasets and distributed systems. Strong analytical, problem-solving, and communication skills. Preferred Qualifications Experience using SQL for advanced data processing and analytics. Knowledge of Medallion Architecture (Bronze, Silver, Gold layers) . Exposure to data visualization tools like Power BI, Tableau, or similar.