Senior Data Engineer

hace 1 día


Morelia, Michoacán de Ocampo, México Canonical A tiempo completo
About Canonical

Canonical is a pioneering provider of open-source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is widely used in groundbreaking initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include leading public cloud and silicon providers, as well as industry leaders in various sectors.

Job Description

We are seeking a skilled Python and Kubernetes Specialist Engineer to join our teams building open-source solutions for public cloud and private infrastructure. As a software engineer on the team, you will collaborate on an end-to-end data analytics and MLOps solution composed of popular, open-source machine learning tools, such as Kubeflow, MLFlow, DVC, and Feast.

Key Responsibilities
  • Design, build, and maintain solutions deployed on public and private clouds and local workstations.
  • Master distributed systems concepts such as observability, identity, and tracing.
  • Work with both Kubernetes and machine-oriented open-source applications.
  • Collaborate proactively with a distributed team of engineers, designers, and product managers.
What You'll Learn

You will develop your understanding of the entire Linux stack, from kernel, networking, and storage, to the application layer. You will work on workflow, ETL, data governance, and visualization tools like Apache SuperSet, dbt, and Temporal, or data warehouse solutions such as Apache Trino or ClickHouse.

Company Culture

We believe in distributed collaboration and try to ensure that colleagues have company during their work hours. Successful candidates will join a team where most members and your manager are broadly in the same time zone, allowing for constant collaboration and discussion.



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