Remote Python & Snowflake Data Engineer - Flexible Hours

BairesDev

Montes de María

Remote

COP 291,290,000 - 485,484,000

Full time

9 days ago
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Benefits offered by this job

Remote work
USD compensation
Home office setup
Flexible hours
Parental leave
Global team
Mentorship

Job summary

BairesDev is seeking a Python Snowflake Developer to design and implement robust data solutions, integrating modern data engineering practices with scalable data structures for analytics.

You will build and maintain enterprise-grade data repositories, develop data pipelines, and collaborate with engineering and product teams to translate complex data requirements into technical solutions while optimizing performance and data integrity.

Qualifications

  • 5+ years of experience in Data Engineering or Software Development.
  • Strong proficiency in Python programming for data development.
  • Proven expertise in designing and managing data warehouses using Snowflake.
  • Solid understanding of data modeling concepts and building data pipelines.
  • Advanced proficiency in English.

Responsibilities

  • Architect and maintain enterprise-grade data repositories to support diverse analytical operations.
  • Develop, optimize, and manage scalable data pipelines for efficient data processing and integration.
  • Implement structured data models that ensure high performance and data integrity across systems.
  • Collaborate with engineering and product teams to translate complex data requirements into technical solutions.
  • Enhance system performance through query optimization, workflow automation, and infrastructure tuning.

Skills

Data engineering
Python
Snowflake
Data modeling
English fluency

Tools

Snowflake

Job description

BairesDev is seeking a Python Snowflake Developer to design and implement robust data solutions, integrating modern data engineering practices with scalable data structures for analytics.

You will build and maintain enterprise-grade data repositories, develop data pipelines, and collaborate with engineering and product teams to translate complex data requirements into technical solutions while optimizing performance and data integrity.

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