Senior Data Engineer

Job Description: - Design, develop, and maintain scalable data pipelines using Databricks, PySpark, and Azure services. - Build and optimize ETL/ELT workflows for processing large volumes of data. - Develop and maintain data models to support business intelligence, reporting, and analytics. - Ensure data quality, governance, security, and performance optimization. - Work with Azure Data Factory (ADF) and Azure Data Lake Storage (ADLS) for data integration and orchestration. - Collaborate with business stakeholders, architects, analysts, and development teams to deliver data-driven solutions. - Participate in Agile ceremonies, code reviews, testing, and production deployments. - Monitor and optimize platform performance while driving continuous improvements.