TechOps-DE-CloudOps AMS-Azure DataOps Engineer-Senior

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we're counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. The opportunity We are seeking a highly skilled and motivated Senior DataOps Engineer with strong expertise in the Azure data ecosystem. You will play a crucial role in managing and optimizing data workflows across Azure platforms such as Azure Data Factory, Data Lake, Databricks, and Synapse. Your primary focus will be on building, maintaining, and monitoring data pipelines, ensuring high data quality, and supporting critical data operations. You'll also support visualization, automation, and CI/CD processes to streamline data delivery and reporting. Your key responsibilities Data Pipeline Management: Build, monitor, and optimize data pipelines using Azure Data Factory (ADF), Databricks, and Azure Synapse for efficient data ingestion, transformation, and storage. ETL Operations: Design and maintain robust ETL processes for batch and real-time data processing across cloud and on-premise sources. Data Lake Management: Organize and manage structured and unstructured data in Azure Data Lake, ensuring performance and security best practices. Data Quality & Validation: Perform data profiling, validation, and transformation using SQL, PySpark, and Python to ensure data integrity. Monitoring & Troubleshooting: Use logging and monitoring tools to troubleshoot failures in pipelines and address data latency or quality issues. Reporting & Visualization: Work with Power BI or Tableau teams to support dashboard development, ensuring the availability of clean and reliable data. DevOps & CI/CD: Support data deployment pipelines using Azure DevOps, Git, and CI/CD practices for version control and automation. Tool Integration: Collaborate with cross-functional teams to integrate Informatica CDI or similar ETL tools with Azure components for seamless data flow. Collaboration & Documentation: Partner with data analysts, engineers, and business stakeholders, while maintaining SOPs and technical documentation for operational efficiency. Skills and attributes for success Strong hands-on experience in Azure Data Factory, Azure Data Lake, Azure Synapse, and Databricks Solid understanding of ETL/ELT design and implementation principles Strong SQL and PySpark skills for data transformation and validation Exposure to Python for automation and scripting Familiarity with DevOps concepts, CI/CD workflows, and source control systems (Azure DevOps preferred) Experience in working with Power BI or Tableau for data visualization and reporting support Strong problem-solving skills, attention to detail, and commitment to data quality Excellent communication and documentation skills to interface with technical and business teams Strong knowledge of asset management business operations, especially in data domains like securities, holdings, benchmarks, and pricing.

EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.