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Tech Stack
Tools & technologiesETLPythonSQL
About the role
Key responsibilities & impact- 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
Requirements
What you’ll need- 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)
Benefits
Comp & perks- 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
