Analytics Solution Architect, Paya Lebar

Essential Skills: . Strong experience with Azure Databricks, including cluster management, notebook development, and Delta Lake. . Proficiency in big data technologies (e.g., Hadoop, Spark) and data processing frameworks (e.g., PySpark). . Deep understanding of Azure services like Azure Data Lake, Azure Synapse, and Azure Data Factory. . Experience with ETL/ELT processes, data warehousing, and building data lakes. . Strong SQL skills and familiarity with NoSQL databases. . Experience with CI/CD pipelines and version control systems like Git. . Knowledge of cloud security best practices. Soft Skills: . Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders. . Strong problem-solving skills and a proactive approach to identifying and resolving issues. . Leadership skills with the ability to manage and mentor a team of data engineers. Nice to have Skills: . Power BI for dashboarding and reporting. . Microsoft Fabric for analytics and integration tasks. . Spark Streaming for processing real-time data streams. . Familiarity with Azure Resource Manager (ARM) templates for infrastructure as code (IaC) practices. Experience: 1. Demonstrated expertise in developing data ingestion and transformation pipelines using Databricks/Synapse notebooks and Azure Data Factory. 2. Solid understanding and hands-on experience with Delta tables, Delta Lake, and Azure Data Lake Storage Gen2. 3. Experience in efficiently using Auto Loader and Delta Live tables for seamless data ingestion and transformation. 4. Proficiency in building and optimizing query layers using Databricks SQL. 5. Demonstrated experience integrating Databricks with Azure Synapse, ADLS Gen2, and Power BI for end-to-end analytics solutions. 6. Prior experience in developing, optimizing, and deploying Power BI reports. 7. Familiarity with modern CI/CD practices, especially in the context of Databricks and cloud-native solutions.