TASKS:
• Create optimal data pipeline architecture that is coherent and scalable, based on best practices of integrating data into a consolidated repository.
• Perform the technical design, development, and component testing.
• Build data and analytics tools, services and products that manage data, metadata or utilize data pipeline to provide actionable insights into customer engagement and experience, operational efficiency, and other key business performance metrics.
• Build the infrastructure required for optimal extraction, transformation, and loading (ETL) of data from a wide variety of data sources using SQL, cloud, and 'big data' technologies.
• Develop ETLs to move data securely from source to target systems.
• Develop new or build against existing APls for data access or landing data as output for further downstream consumption in the appropriate target data store.
MANDATORY SKILLS/EXPERIENCE
• 9+ years of experience in the Java application development and implementation of large technology projects.
• 5+ years of experience in writing SQL.
• Experience in front-end and back-end application development.
• Proven experience as a Full Stack Developer with expertise in Java, Spring Boot, Python, JavaScript, and related frameworks (e.g., React, Angular, Node.js, Vue)
• Experience with RDBMS (Oracle, MySQL, PostgreSQL)
• Understand basic design principles behind a scalable application.
• Experience with service-oriented architecture and RESTful web services.
Any Graduate