Software Engineering, Data Science
Bogotá, Bogota, Colombia
Posted on Tuesday, September 13, 2022
COME JOIN US AT YUNO!💜
We are seeking a Semi-Sr Data Engineer to join our team. If you’re a Software/Data Engineer, specialized in ETL's and you enjoy solving complex problems with code, developing and you are not afraid of learning new things, we are looking for you. You will be part of the team delivering the different parts of our production-ready product, while co-designing and implementing an architecture that can scale up with the product and the company.
At Yuno we are looking to solve the complexity of the online payment’s ecosystem. Allowing merchants and commerce to accept payments in an easy way, accessing a variety of payment services with just one integration and enabling end users to pay in an easy and secure way.
🟣 What would be my challenge in Yuno?
•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.
•Proven experience as a Data Engineer or similar role in a data-intensive environment.
•Strong proficiency in SQL and python.
•Knowledge of Golang is a plus.
•Knowledge of data infrastructure design and management.
•Familiarity with data governance principles and practices.
•Experience with ETL processes and tools.
•Proficiency in working with Data Warehouses or Data Lakes.
•Familiarity with big data technologies.
•Ability to integrate data from multiple sources.