Remote Data Engineer

Description:

• Yuno is seeking a Semi-Sr Data Engineer to join their team in Bogota, Buenos Aires, Mexico, or São Paulo.
• The role involves designing, developing, and maintaining data infrastructure to support the payment processing platform.
• Responsibilities include ensuring the reliability, scalability, and efficiency of data systems.
• The engineer will work with various data sources, including HDFS, CSV, Parquet, APIs, and Web Services.
• Key challenges include implementing data extraction methods, building application integrations, and automating relevant data processes.
• The engineer will design and build data processing pipelines for large volumes of data that are performant and scalable.
• Responsibilities also include building and maintaining infrastructure for data extraction, loading, transformation, and storage.
• Collaboration with the team is essential to develop and maintain a robust and scalable data infrastructure.
• The role requires implementing and enforcing data governance policies to ensure data quality, security, and compliance.
• The engineer will manage and optimize data warehousing solutions for efficient data storage and retrieval.
• Development and maintenance of data lake solutions for diverse data types is also required.
• The position involves using big data technologies and frameworks to process and analyze large datasets efficiently.
• The engineer will work with distributed data systems to handle high volumes of data and integrate data from various sources.

Requirements:

• A Bachelor's degree in Computer Science, Information Technology, or a related field is required.
• Proven experience as a Data Engineer or in a similar role in a data-intensive environment is necessary.
• Knowledge in PySpark is a must for this position.
• Strong proficiency in Python and Scala is required.
• Candidates should have knowledge of data infrastructure design and management.
• Familiarity with data governance principles and practices is essential.
• Experience with ETL processes and tools is required.
• Proficiency in working with Data Warehouses and Data Lakes is necessary.
• Familiarity with big data technologies and distributed data systems is important.
• The ability to integrate data from various sources, including HDFS, CSV, Parquet, APIs, and Web Services, is required.

Benefits:

• The position offers the opportunity to work in a dynamic and growing company in the payment processing sector.
• Employees will have the chance to work remotely from various locations including Bogota, Buenos Aires, Mexico, or São Paulo.
• The role provides an opportunity to work with cutting-edge technologies and frameworks in the data engineering field.
• Employees will be part of a collaborative team focused on developing robust data solutions.
• The company promotes a culture of innovation and continuous improvement in data practices.