Senior Databricks Engineer

Summary We are looking for a highly skilled Senior Databricks Engineer with a strong background in Azure data services to lead the design, development, and optimization of scalable data pipelines and analytics solutions. The ideal candidate will have at least 4 years of hands-on experience in Databricks, with deep expertise in Azure Data Factory (ADF), Delta Lake, and big data processing.   Key Responsibilities:   Design and implement robust, scalable, and efficient data pipelines using Azure Databricks and ADF.Develop and manage ETL/ELT processes, data lakes, and Delta Lake architecture.Collaborate with data scientists, analysts, and business stakeholders to deliver high-impact AI/ML-driven data products.Optimize Spark jobs and ensure performance tuning of large-scale data transformations.Drive best practices in data quality, governance, and security across Azure cloud-based solutions.Participate in code reviews, solution architecture design, and technical mentoring of junior engineers.Monitor and manage job performance and orchestration using ADF, Databricks Workflows, or other schedulers.Ensure adherence to compliance, privacy, and security policies within data solutions   Qualification: Bachelors Degree in Computer Sciences or Software Engineering  Sound Knowledge of Database Management ,SQL and Azure