Lead Data EngineerLead Data Engineer with over 8 years of experience in applications architecture, data engineering, design, and development. This hands-on role involves developing software solutions for Portfolio Exposures and working closely with global cross-functional teams including Enterprise Architecture, Database Architects, Business Analysts, QA, and Infrastructure.Key ResponsibilitiesArchitecture & Development: Architect, design, and develop data engineering solutions using Python, SQL, and Apache Spark.Automate workflows on platforms like Databricks, AWS, and on-premises systems.Perform data modeling and design for data warehouses.Project Leadership: Participate in Agile processes for scope definition, requirements analysis, and design.Coordinate with business users, developers, testers, and architects across global teams.Lead and mentor junior developers, providing technical expertise.Essential SkillsStrong expertise in Python, SQL, and Apache Spark.Proficiency in data modeling and database design.Hands-on experience with data warehouses and cloud databases.Experience with big data platforms like Databricks and cloud computing (AWS) is advantageous.Familiarity with CI/CD practices, shell scripting, and job scheduling.Preferred QualificationsBachelor's degree in Computer Science or related field.8+ years of software development and maintenance experience.AWS and Databricks certifications are a plus.Experience in financial services, particularly asset management, is a bonus.This role offers the opportunity to work on key growth initiatives and leverage new technologies within a dynamic and collaborative environment.
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