AI Development and Automation Engineer – Mid-Level

Job not on LinkedIn

🕒 April 9

🇧🇷 Brazil – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 QA Automation Engineer

👻 Ghost score 58%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Solo Network

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2002

🔒 Cybersecurity

Cybersecurity • Cloud • IT Services

Solo Network is a Brazilian technology company that specializes in providing a comprehensive range of IT services. Founded in 2002, it has become a leading partner for businesses aiming to optimize their digital operations through cloud solutions, cybersecurity, and collaboration tools. The company focuses on delivering tailored solutions, ensuring high levels of customer satisfaction through specialized support and services across various sectors, including government and corporate environments.

📋 Description

• Work in Data Engineering, developing pipelines for data ingestion and processing • Perform advanced data modeling • Work with Big Data environments • Design and work with cloud-based data architecture • Orchestrate data pipelines • Optimize SQL queries, perform tuning, and analyze performance • Build and maintain ETL/ELT pipelines at scale • Work with Data Warehouses and/or Data Lakes • Implement version control with Git and CI/CD best practices • Support data governance, quality, and cataloging initiatives • Monitor pipelines and their observability

🎯 Requirements

• Experience in Data Engineering, working with data pipelines, ingestion, and processing • Experience with advanced data modeling • Knowledge of Big Data environments, such as Spark, Databricks, or similar technologies • Experience with cloud-based data architecture on Azure, AWS, or GCP • Experience orchestrating pipelines using Airflow, Prefect, or similar tools • Advanced SQL skills, including query optimization, tuning, and performance analysis • Experience building and maintaining ETL/ELT pipelines at scale • Intermediate to advanced Python skills for Data Engineering • Experience with Data Warehouses and/or Data Lakes • Experience with orchestration tools such as Airflow and Data Factory • Knowledge of cloud platforms, preferably Azure, including Data Factory, Synapse, and Fabric • Experience with Git version control and CI/CD best practices • Familiarity with data governance, quality, and cataloging • Experience monitoring pipelines and implementing observability • Bachelor’s degree or associate degree in a technology-related field