Yuno

Design and develop scalable data pipelines, manage data infrastructure, and ensure data quality and security. | Proven experience in data engineering, proficiency in Python and SQL, familiarity with data lake and big data technologies, and knowledge of data governance. | Job Description: • Implement any type of extraction ( Manuals, mails, SFTP, and Apis) • Build solutions for application integrations, task automation and any relevant data automation using proven design patterns. • Design and build data processing pipelines for large volumes of data that are performant and scalable. • Build and maintain the infrastructure required for extraction, loading, transformation and storage of data from multiple data sources using custom scripted. • Collaborate with the team to develop and maintain a robust and scalable data infrastructure to support our data needs. • Implement and enforce data governance policies and best practices to ensure data quality, security, and compliance. • Manage and optimize data warehousing solutions for efficient storage and retrieval of data. • Develop and maintain data lake solutions for storing and managing diverse data types. • Use big data technologies and frameworks to process and analyze large datasets efficiently. • Work with distributed data systems and technologies to handle high volumes of data. • Integrate data from multiple sources. • Establish and maintain data governance frameworks, including metadata management, data lineage, cataloging, and access control to ensure consistent and trusted data. • Design, develop, and maintain automated data pipelines and dashboards that enable stakeholders to monitor business performance and make data-driven decisions. Requirements: • Proven experience as a Data Engineer or similar role in a data-intensive environment. • Strong proficiency in Java/Python and SQL. • Proficiency in working with Data Lake House. • Knowledge of data infrastructure design and management. • Familiarity with data governance principles and practices. • Experience with ETL processes and tools. • Familiarity with big data technologies and distributed data systems. • Ability to integrate data from multiple sources. • Knowledge of Spark & DBT. • Verbal and written English fluency. Benefits: • Competitive Compensation • Remote work - You can work from everywhere! • Home Office Bonus - We offer a one time allowance to help you create your ideal home office. • Work equipment • Stock options • Health Plan wherever you are • Flexible Days off • Language, Professional and Personal growth courses