Data Engineer

Company Description

Travel & Payments is on a hiring spree again. Travel & Payments is a Singapore headquartered company with offices in Hyderabad, India as well, through our subsidiary - Mitt Arv Technologies Pvt Ltd. Travel & Payments provides consulting and advisory services in both Travel and Payments industry. One of our clients - Y.uno is looking to hire their APAC based Development team through us. We have already rolled out 3 offers, who all have started this month in September. We're now looking for more!

About Yuno :

At Yuno, we are building the payment infrastructure that enables all companies to participate in the global market. Founded by a team of seasoned experts in the payments and IT industries, Yuno provides a high-performance payment orchestrator. Our technology offers companies access to leading payment capabilities, allowing them to engage customers confidently and maintain global business operations with seamless payment integrations worldwide.

Role 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.

Required Skills

Interview Process :