Senior Data Engineer

• Prepare, structure, and enable Snowflake data required to support the Dataiku PO agent proof of concept
• Design, develop, and maintain data pipelines to ingest, transform, normalize, and prepare data from multiple sources
• Design and implement scalable, reliable, and maintainable data ingestion workflows in Snowflake
• Develop and maintain data models supporting analytical use cases and proof-of-concept requirements
• Implement data quality checks and validation rules for accuracy, consistency, completeness, and reliability
• Use SQL and Python to process, transform, and validate large datasets efficiently
• Identify and resolve data inconsistencies, anomalies, and structural issues affecting downstream consumption
• Support ETL processes and file-handling workflows for structured and semi-structured data
• Collaborate with business and technical stakeholders to translate data requirements into reliable data solutions
• Contribute to technical documentation and continuously improve data processes, standards, and validation practices

• 5+ years of experience in Data Engineering or Data Analytics roles with a strong engineering focus
• Strong hands-on experience with Snowflake (must-have)
• Strong SQL skills, including data transformation, querying, and validation
• Experience with data modeling and preparing datasets for analytical and downstream applications
• Proven experience in data quality validation, including implementing checks to ensure accuracy, consistency, and completeness
• Experience building and maintaining ETL pipelines and data ingestion workflows
• Hands-on experience with Python for data processing and transformation
• Strong attention to detail and a focus on data reliability and quality
• Ability to collaborate effectively with technical and business stakeholders
• Experience integrating or connecting Snowflake with Dataiku (nice to have)
• Familiarity with AI-driven or agent-based proof-of-concept initiatives (nice to have)

• Certifications in AWS (we are AWS Partners), Databricks, and Snowflake
• Access to AI learning paths to stay up to date with the latest technologies
• Study plans, courses, and additional certifications tailored to your role
• Access to Udemy Business, offering thousands of courses to boost your technical and soft skills
• English lessons to support your professional communication
• Travel opportunities to attend industry conferences and meet clients
• Career development plans and mentorship programs
• Special day rewards to celebrate birthdays, work anniversaries, and other personal milestones
• Company-provided equipment
• Flexible working options to help you strike the right balance
• Other benefits may vary according to your location in LATAM