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About the role
Role Overview: As an Azure Data Platform Engineer at our company, you will be focusing on designing, building, and optimizing modern data platforms on Microsoft Azure. Your responsibilities will include developing scalable data ingestion and transformation pipelines using Azure Data Factory and Databricks, managing enterprise-grade data solutions on Azure SQL, and integrating advanced analytics and AI capabilities using Azure AI Services and Microsoft Fabric. You will play a crucial role in ensuring data quality, performance tuning, and supporting ML migration initiatives to enable data-driven decision-making across the organization. Key Responsibilities: - Design and implement scalable data platforms using Azure SQL, Databricks, and Azure Data Factory - Build and optimize ETL/ELT pipelines for structured and unstructured data - Enable analytics and AI integration using Azure AI Services and Microsoft Fabric - Support ML workload migration and modernization initiatives on Azure - Ensure high standards of data quality, governance, and reliability - Perform performance tuning and optimization for data pipelines and queries - Collaborate with cross-functional teams in agile delivery models - Contribute to architecture, best practices, and continuous improvement initiatives Qualifications Required: - Strong hands-on experience in Azure Data Platform technologies - Proven skills in ETL development using Azure Data Factory - Solid experience with Databricks (Spark, notebooks, performance optimization) - Strong understanding of Azure SQL and data modeling concepts - Experience in analytics and AI integration on Azure - Understanding of ML migration and data preparation for advanced analytics - Expertise in data quality, performance tuning, and monitoring - Strong problem-solving skills and ability to deliver end-to-end data solutions Company Details: Persistent is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. The company supports hybrid work and flexible hours to fit diverse lifestyles. The office is accessibility-friendly, with ergonomic setups and assistive technologies to support employees with physical disabilities. If you are a person with disabilities and have specific requirements, please inform us during the application process or at any time during your employment. At Persistent, we offer a competitive salary and benefits package, a culture focused on talent development, quarterly growth opportunities, company-sponsored higher education and certifications, employee engagement initiatives, annual health check-ups, and insurance coverage for self, spouse, children, and parents. Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind. Role Overview: As an Azure Data Platform Engineer at our company, you will be focusing on designing, building, and optimizing modern data platforms on Microsoft Azure. Your responsibilities will include developing scalable data ingestion and transformation pipelines using Azure Data Factory and Databricks, managing enterprise-grade data solutions on Azure SQL, and integrating advanced analytics and AI capabilities using Azure AI Services and Microsoft Fabric. You will play a crucial role in ensuring data quality, performance tuning, and supporting ML migration initiatives to enable data-driven decision-making across the organization. Key Responsibilities: - Design and implement scalable data platforms using Azure SQL, Databricks, and Azure Data Factory - Build and optimize ETL/ELT pipelines for structured and unstructured data - Enable analytics and AI integration using Azure AI Services and Microsoft Fabric - Support ML workload migration and modernization initiatives on Azure - Ensure high standards of data quality, governance, and reliability - Perform performance tuning and optimization for data pipelines and queries - Collaborate with cross-functional teams in agile delivery models - Contribute to architecture, best practices, and continuous improvement initiatives Qualifications Required: - Strong hands-on experience in Azure Data Platform technologies - Proven skills in ETL development using Azure Data Factory - Solid experience with Databricks (Spark, notebooks, performance optimization) - Strong understanding of Azure SQL and data modeling concepts - Experience in analytics and AI integration on Azure - Understanding of ML migration and data preparation for advanced analytics - Expertise in data quality, performance tuning, and monitoring - Strong problem-solving skills and ability to deliver end-to-end data solutions Company Details: Persistent is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. The company suppor
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