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About the role
- 5+ year experience as Data Architect Responsibilities : Lead teams in building new solutions and enhancements, working closely with requirements analysts, qa, and the customers in an agile development practice. Work with Fusion core architects on proposing and integrating architectural changes. Develop functional and technical specifications from business requirements. Help create project estimates and plans. Represent engineering team in project meetings and solution discussions. Ensure application quality and adherence to performance requirements. Responsible for documentation, code reuse, re-factoring and design patterns standards compliance Ensure high standards of availability, scalability, and extensibility of internally developed applications. Work closely with an experienced staff comprising both EY resources and 3rd party contractors. Communicate the status of technical stacks and initiatives to stakeholders and leadership. Keep abreast of emerging technologies while maintaining proficiency in existing technologies. Perform other duties and/or special projects as assigned. Must be willing to work second shift IST time to overlap with EST timezone Qualifications/Requirements : Bachelors degree in computer science / engineering or related field, with a minimum of 5 years of experience in Information Technology Minimum 5 years of experience in development using Azure and Databricks technologies. Experience building UI applications using Angular and Java Deep understanding of SPARK technologies Minimum 2 years of application design experience using Design Patterns, UML, component architecture, unit/functional testing, and/ or database design/tuning. Databricks Platform Architect certified and/or Azure Architect certified. Desired Characteristics : Strong working knowledge of the Financial Industry and Wealth management Experience in designing and developing applications using microservices architecture and cloud-based technologies. Ability to achieve results in a cross-functional matrix organization involving multiple technologies, personnel, and processes. Mandatory skills* Azure Data Factory , Azure Databricks, Azure Synapse, Azure SQL, Azure DevOps, PLSQL, MSSQL, Pyspark, Spark, Python Domain* Services
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