Data Engineer – GCP (Mid/Senior)

🕒 July 15

🇧🇷 Brazil – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 14%

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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Keyrus

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1996

🤝 B2B

💼 Consulting

B2B • Data Analytics • Consulting

Keyrus is an international company passionate about leveraging data to make impactful changes in life, society, and the future. With a presence in 18 countries, Keyrus is dedicated to creating meaningful careers for its employees by fostering excellence, trust, creativity, kindness, and fun. Specializing in data analytics, data advisory, and management, Keyrus provides vendor-agnostic solutions and continuous training opportunities through its KLX platform. The company also emphasizes a healthy work-life balance with a range of benefits, including sports events, healthcare plans, and an inclusive work culture. Keyrus is committed to openness and transparency to maintain positive workplace relationships and is driven to innovate and influence the digital future.

📋 Description

• Modern, scalable, and secure data architectures on Google Cloud Platform. • High-performance data pipelines for ingestion, transformation, and data delivery. • Analytical solutions for Data Lake, Data Warehouse, and Data Mart. • Robust and optimized data models for analytical consumption and decision-making. • Environments with governance, data quality, security, and compliance across the entire data lifecycle.

🎯 Requirements

• Proficient in SQL and best practices for Data Warehousing and BigQuery. • Advanced knowledge of conceptual, logical, and physical data modeling. • Strong experience in Data Engineering and analytical projects. • Experience with Python and Apache Spark for data processing. • Hands-on experience with the Google Cloud Platform ecosystem. • Experience with CI/CD, source code versioning, and pipeline automation. • Knowledge of modern data architectures.

🏖️ Benefits

• Mental health support • Continuous training • Flexible working hours • Remote work