Senior Data Engineer

Job not on LinkedIn

🔥 2 minutes ago

🇧🇷 Brazil – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 24%

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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Runtalent

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2003

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

Runtalent is a technology services company that specializes in the allocation of qualified professionals across various tech platforms for project needs. They focus on agile squads and managed services, ensuring operational efficiency and project success. With over 20 years in the market, Runtalent has established a strong talent pool and collaborates with multiple industries including finance, healthcare, and entertainment to provide tailored solutions for each client.

📋 Description

• Design, develop, and maintain scalable, resilient batch and/or streaming data pipelines on GCP • Build processes for ingesting, transforming, and making data available from diverse sources • Model data for analytical consumption, ensuring performance and cost-efficiency best practices • Orchestrate and monitor data workflows, handling failures and ensuring data quality and reliability • Apply best practices for version control, CI/CD, testing, and technical documentation • Collaborate with architects, analysts, and business teams, including in meetings conducted in English • Contribute to technical decisions and support the evolution of the data architecture

🎯 Requirements

• Solid experience as a Data Engineer, working at a senior level • Practical experience with GCP data services, such as BigQuery, Dataflow, Cloud Composer (Airflow), Pub/Sub, Cloud Storage, and Dataproc • Proficiency in SQL and Python • Experience with data modeling (dimensional and/or data lake/lakehouse) • Knowledge of version control (Git) and CI/CD practices • Advanced English proficiency

🏖️ Benefits

• Remote work arrangement