Layer7 SAPI de CV - Data Engineer Sr

Open job
Data Scientist
💰 Negotiable
📍 Colombia
Closing date: a month left
Twine Jobs Twine
Based in Manchester, United Kingdom
Last online 4 months ago

Data Scientist is needed in Colombia.

Client: Layer7 SAPI de CV

Location: Colombia, DC, co

Contract: Freelance

Job Description

This is a remote position.

At Layer7, we are building hyper-scale technology where every engineering decision impacts millions of users and the critical operations of banks, retailers, and large companies. We are a team of over 100 passionate professionals tackling highly complex technical problems, from resilient distributed systems to platforms capable of processing billions of interactions annually. We foster a high-performance culture of technical curiosity and real camaraderie, providing space to grow, learn, and maintain a healthy work-life balance. If you enjoy solving challenging problems, designing systems that scale boundlessly, and daring to innovate with impact, this is your place.

As a Senior Data Engineer, you’ll be essential in supporting the Engineering department, focusing on scalable maintenance and the creation of data infrastructure solutions. Your primary responsibilities will include inspecting, cleaning, transforming, and modeling information, critical for informed decision-making.

Key activities include:

  • Supporting the design of data processing components on L7’s infrastructure to meet the specific needs of the company, its clients, and suppliers.
  • Designing, implementing, and maintaining data pipelines for integration from various sources.
  • Collaborating with data analysts, engineers, and teams across departments to understand and translate data requirements into tailored solutions.
  • Building metrics and implementing observability tools to monitor and measure data pipeline performance for early incident detection.
  • Assisting in the data governance process while maintaining data privacy criteria and security regulations established by L7.
  • Documenting architectures, data flows, and process automation.

As a Data Engineer at Layer7, we seek someone with excellent communication skills, data handling capabilities, and model and report presentation skills, as well as a high sense of responsibility and collaboration, capable of making decisions and achieving project goals.

We want you to be a part of our talented and ambitious professional team!

Requirements

  • Degree in Systems Engineering or related field.
  • 10 years of experience in Business Intelligence.
  • 7 years of experience in Software Engineering.
  • 5 years of programming experience in Python.
  • 5 years of experience in AWS, MySQL, ETL.
  • 3 years of experience in Rust (optional).
  • 10 years of experience in Linux.
  • Experience in creating dashboards and reports.
  • Advanced SQL skills and experience with relational and multidimensional databases.
  • Knowledge of Docker and Kubernetes.
  • Experience in designing batch and streaming data pipelines.
  • Experience in manipulating and processing large volumes of data.
  • Strong organizational and project management skills.
  • Excellent problem-solving, communication, and organizational skills.
  • Proven ability to work independently and as part of a team.
  • Excellent interpersonal relationships.
  • Critical thinking.

Benefits

  • 100% remote employment.
  • Competitive salary.
  • Extensive learning opportunities in dynamic environments.
Posted 10 hours ago

  • Apply


    Enter your email to apply

     

    By applying, you agree to our Terms.

    Already have an account? Sign in.

  • How It Works


    🔍

    Get quality leads

    Review job leads for free, filter by local or global clients, and get real time notifications for new opportunities.


    🎉

    Apply with ease

    Pick the best leads, unlock contact details, and apply effortlessly with Twine's AI application tools.


    📈

    Grow your career

    Showcase your work, pitch to the best leads, land new clients and use Twine’s tools to find more opportunities.