Senior Python Backend Engineer - Data-Driven, Snowflake

AgileEngine, LLC.

Medellín

On-site

COP 356,022,000 - 517,850,000

Full time

14 days+
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Benefits offered by this job

Professional growth
Competitive compensation
An exciting project portfolio
Flextime

Job summary

AgileEngine, LLC. in Medellín, Colombia is seeking a Senior Backend Engineer focused on database optimization and scalable software development.

You will lead initiatives to enhance database performance and build robust backend systems capable of handling high data volumes, especially for revenue-driving features. You will design data architectures, optimize queries, and implement event-driven processes while writing clean, modular Python code and collaborating across teams to deliver reliable

Qualifications

  • 4+ years of Python experience.
  • Strong SQL knowledge and Snowflake experience.
  • Experience with dbt for data transformation and modeling.
  • Hands-on experience building tools using Streamlit for Snowflake.

Responsibilities

  • Lead data optimization and database performance improvements, focusing on queries, indexing, and data architecture.
  • Develop and maintain scalable backend systems handling high data volumes for revenue-driving features.
  • Design, test, and maintain software with emphasis on performance, reliability, and scalability.
  • Write clean, modular code following OOP principles, primarily in Python.
  • Collaborate with cross-functional teams to translate concepts into effective software solutions.
  • Design and implement event-driven processes to improve data flow and system responsiveness.

Skills

Python
SQL
Snowflake
dbt

Tools

Streamlit for Snowflake

Job description

AgileEngine, LLC. in Medellín, Colombia is seeking a Senior Backend Engineer focused on database optimization and scalable software development.

You will lead initiatives to enhance database performance and build robust backend systems capable of handling high data volumes, especially for revenue-driving features. You will design data architectures, optimize queries, and implement event-driven processes while writing clean, modular Python code and collaborating across teams to deliver reliable

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