Azure Datawarehouse

As an experienced Azure Data Warehouse Engineer joining our Chennai-based data and analytics team, your role is crucial in designing and developing a unified data platform that integrates critical business systems and enables self-service analytics across departments. This strategic position aims to build a single source of truth for customer and transaction data across the organization. Key Responsibilities: - Design and implement scalable data models and architecture on Azure Synapse or Snowflake - Develop ETL pipelines using Azure Data Factory, Python, and Spark to ingest and transform data from Salesforce, QuickBooks, and other sources - Create robust, reusable data views for different business departments - Collaborate with business analysts and stakeholders to deliver reliable datasets for Tableau dashboards - Ensure data accuracy, consistency, security, and governance across the platform - Optimize performance of large-scale data processing jobs - Maintain documentation, data catalogs, and version control for data pipelines Qualifications & Skills: - 5+ years of experience in data warehousing, ETL development, and cloud-based analytics - Strong expertise in Azure Data Factory, Azure Synapse, or Snowflake - Experience with Salesforce and QuickBooks data integration is highly desirable - Proficiency in SQL, Python, and distributed data processing (e.g., PySpark) - Hands-on experience with Tableau or similar BI tools - Understanding of data modeling (dimensional/star schema), warehousing best practices, and performance tuning - Familiarity with cloud security, access management, and data governance in Azure - Excellent problem-solving, communication, and collaboration skills Nice to Have: - Experience with DevOps and CI/CD practices in a data engineering context - Familiarity with Data Vault or modern data stack architectures - Knowledge of API integrations and data sync between cloud systems,