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Senior Data Engineer - Snowflake & Dataiku POC

Blend360 · Bogotá

New
Senior 🇬🇧 English
Snowflake SQL Python ETL Data modeling Data quality validation

Job description

About the role

Blend360 is looking for a Senior Data Engineer in Bogotá to support the design, development and optimization of data solutions for a high-impact enterprise initiative. The role focuses on preparing and enabling the Snowflake data required for a Dataiku PO agent Proof of Concept (POC), ensuring data is ingested, transformed, standardized and structured so that downstream analytical workflows can run reliably.

Key responsibilities

  • Prepare, structure and enable the Snowflake data needed for the Dataiku PO agent POC.
  • Design, develop and maintain data pipelines that ingest, transform, normalize and prepare data from multiple sources.
  • Implement data ingestion workflows in Snowflake that are scalable, reliable and maintainable.
  • Develop and maintain data models supporting analytical use cases and the POC requirements.
  • Implement data quality checks and validation rules to ensure accuracy, consistency, completeness and reliability.
  • Use SQL and Python to process, transform and validate large datasets, and fix data inconsistencies and anomalies.
  • Support ETL processes and file-handling workflows for structured and semi-structured data.
  • Work with business and technical stakeholders to turn their data needs into reliable solutions, and contribute to technical documentation.

Required profile

  • 5+ years of experience in Data Engineering or Data Analytics roles with a strong engineering focus.
  • Proven experience in data quality validation and in building and maintaining ETL pipelines and ingestion workflows.
  • Ability to collaborate with technical and business stakeholders.
  • Nice to have: experience connecting Snowflake with Dataiku, and familiarity with AI-driven or agent-based proof-of-concept initiatives.

Required skills

  • Strong hands-on experience with Snowflake (must-have).
  • Strong SQL skills, including transformation, querying and validation.
  • Data modeling and preparation of datasets for analytical use.
  • Hands-on Python for data processing and transformation.

What we offer

  • Certification opportunities in AWS, Databricks and Snowflake, plus access to Udemy Business and English lessons.
  • Travel to industry conferences and mentoring and career development plans.
  • Flexible working options, company-provided equipment and celebrations for milestones.

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Source : ats:smartrecruiters

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Published 1 hour ago

Expires 1 month from now

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