Senior Data Engineer – Analytics

🔥 5 minutes ago

🇧🇷 Brazil – Remote

⏰ Full Time

🟠 Senior

📊 Analytics Engineer

👻 Ghost score 10%

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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Kumulus

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2017

💼 Consulting

🏢 Enterprise

🤖 Artificial Intelligence

Consulting • Enterprise • Artificial Intelligence

Kumulus is a Latin American technology services company specializing in cloud and data-driven digital transformation. It provides cloud adoption, managed cloud services, cloud security, DevOps and automation, data and analytics, AI & ML, IoT integration, application modernization, and enterprise integration in partnership with major cloud vendors like Microsoft, AWS, Google, and Databricks. Kumulus helps organizations of all sizes accelerate cloud journeys, modernize applications, and leverage analytics and AI to become more competitive.

📋 Description

• Develop and maintain data integration, transformation, and processing solutions, primarily using Databricks and SQL • Perform data modeling and structuring for analytical consumption • Develop and optimize data transformation processes • Work in analytics engineering, connecting business needs to data structures and models • Build metrics, KPIs, and analytical models • Develop reports, dashboards, models, and analytical views in Power BI • Support the integration of information from different sources • Work with relevant stakeholders to translate business needs into data and analytics solutions • Ensure the consistency, integrity, and quality of data used in analyses

🎯 Requirements

• Hands-on experience with Databricks • Strong SQL skills • Experience with Power BI, including building models, metrics, KPIs, reports, and dashboards • Experience in data modeling and transformation • Knowledge of analytics engineering • Experience with data integration • Ability to structure data for consumption by BI and Analytics solutions • Seniority and technical autonomy to lead data and analytics activities • Intermediate or advanced English proficiency (a plus) • Microsoft Azure and/or Databricks certifications (a plus)