Senior Data Engineer (Data Science/ML)

TL;DR

Senior Data Engineer (Data Science/ML): Building innovative products as part of a client team, focusing on problem-solving and designing scalable, resilient, and fault-tolerant architectures. Focus on maintaining a high degree of ownership and transparency in deliverables and effectively communicating complex ideas.

Location: Brazil Remote

Company

hirify.global is a remote-first consultancy specializing in software engineering, product design, and data, creating digital solutions that deliver value.

What you will do

• Write highly maintainable and performant Python/PySpark code.
• Work with Cloud environments, particularly Microsoft Azure and data orchestration systems such as Dagster or Apache Airflow.
• Work with containerization platforms such as Docker and container orchestration systems such as Kubernetes.
• Work with data lakes and Spark or Databricks.
• Understand common data transformation and storage formats, e.g. Apache Parquet.

Requirements

• Proven experience writing highly maintainable and performant Python/PySpark code.
• Good understanding of Cloud environments and data orchestration systems.
• Good understanding of containerisation platforms and container orchestration systems.
• Experience working with data lakes and Spark or Databricks.
• Familiar with version control systems such as Git and GitHub.
• Must be based in Brazil

Culture & Benefits

• Chance to work with a forward-thinking, ethical, and fun group of people.
• Opportunity to develop and grow skills in a fast-moving business.
• Remote-first working environment with flexible working and work–life balance.

Hiring process

• 1st Interview with someone from the Talent team (30/45 mins).
• Technical Interview with our Senior Developers (1h30).
• Meet our Client Partner (30 mins).