• Develop, test, and manage data pipelines. • Implement data validation, cleansing, and monitoring techniques to ensure that the data is accurate, reliable, and up to date. • Define data models and schemas that support the integration and scalability of various data systems. • Monitor the health of data pipelines, troubleshoot issues, and improve system resilience to maintain data flow continuity. • Stay up to date with emerging technologies, frameworks, and industry trends, driving the adoption of new tools and methodologies. • Collaborate closely with Data Engineering and other key stakeholders to develop and execute a strategy to modernize data pipelines to address emerging needs for the business. • Implement and maintain robust security protocols, ensuring data privacy and compliance with relevant regulations. • Follow and promote best practices in coding, design, and development methodologies, maintaining quality and consistency across the team. • Provide guidance support and mentorship, fostering a collaborative and growth-oriented environment. • Conduct code reviews and offer constructive feedback to ensure code quality, maintainability, and system scalability.