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Blend360

Senior Data Engineer

Blend360

. Prepare, structure, and enable Snowflake data required to support the Dataiku PO agent proof of concept .

Posted 10/15/2026full-timeRemote • ColombiaSeniorWebsite

Tech Stack

Tools & technologies
ETLPythonSQL

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