Senior Data Engineer

Job not on LinkedIn

🕒 July 16

🇧🇷 Brazil – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 57%

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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Review ALL

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2023

💼 Consulting

🎯 Recruiter

🤝 B2B

Consulting • Recruitment • B2B

Review ALL is a recruitment and talent-acquisition agency specialized in the technology, innovation and startup ecosystem. It provides end-to-end recruitment and selection services to founders, CEOs, HR leaders and executives, aligning technical skills, behavioral competencies and cultural fit to rapidly scale teams and accelerate business growth. Review ALL also engages the tech ecosystem through events and partnerships to foster networking and connect startups with investors and talent.

📋 Description

• Develop and maintain data pipelines in a GCP environment • Design and implement analytical and operational data models • Develop APIs and services for data consumption and delivery • Implement solutions using Python for data processing and transformation • Work with distributed databases, particularly Google Cloud Spanner and BigQuery • Build scalable, resilient, and highly available solutions • Participate in architecture discussions and technical decision-making • Ensure the quality, governance, and observability of data solutions • Work closely with business teams to translate requirements into technical solutions • Conduct code reviews and provide technical support to other team members

🎯 Requirements

• Clear and objective communication • Ability to work in demanding, high-pressure environments • Ownership mindset and autonomy • Collaborative and consultative approach • Strong analytical and complex problem-solving skills • Ability to collaborate effectively with business teams and multidisciplinary groups • Proactivity and ability to influence technical decisions • Continuous improvement mindset • Strong experience with Google Cloud Platform (GCP) • Experience with Google Cloud Spanner and BigQuery • Advanced Python development skills • Experience building and consuming REST APIs • Relational and dimensional data modeling • Experience with Analytics and Data Engineering solutions • Knowledge of distributed data architecture • Experience with SQL and NoSQL databases • Knowledge of code version control, particularly Git • Knowledge of software engineering practices, testing, and CI/CD • Experience working in mission-critical and highly available environments