Development and Automation Engineer (Mid-Level)

🕒 June 26

🏢🏡 Pinhais – Hybrid

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 QA Automation Engineer

👻 Ghost score 38%

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 on strategic data, automation, and scalable solutions projects • Build and maintain data ingestion and processing pipelines • Develop data-driven Data Engineering solutions • Work with advanced data modeling • Build modern, intelligent, and scalable environments • Contribute to robust solutions with a focus on quality and continuous improvement

🎯 Requirements

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

🏖️ Benefits

• Cooperative contractor engagement • Hybrid work arrangement in São Paulo, SP, or Curitiba, PR • Remote work for candidates in other regions