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

• 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. 

Interview Process:

1. Assignment to be completed
2. Interviews with CTO of Mitt Arv - Ashwin Jain
3. Interviews with Yuno Technical Lead
4. Interviews with Yuno CTO or equivalent
5. Bar Raiser interview with Yuno Expansion head
6. Offer issuing