Senior Data Engineer – Azure

🔥 0 minutes ago

🇧🇷 Brazil – Remote

⏰ Full Time

🟠 Senior

☁️ Cloud Engineer

👻 Ghost score 11%

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

• Architect data engineering solutions on Azure and Databricks • Develop, enhance, and maintain scalable, efficient, reliable, and high-performance data pipelines • Integrate data from different sources and systems • Contribute to process and pipeline performance optimization • Ensure the quality, security, availability, and accessibility of information • Build robust data solutions • Work with technical and non-technical stakeholders to transform business needs into practical solutions • Contribute to delivering value and results for clients and the business

🎯 Requirements

• Strong experience in Data Engineering • Experience with Azure, Databricks, Azure Data Factory, and Unity Catalog • Proficiency in Python, PySpark, and SQL • Knowledge of ETL/ELT processes • Knowledge of SQL and NoSQL databases • Knowledge of distributed architectures and large-scale data processing • Experience integrating data from different sources and systems • Experience with Azure DevOps Test Plans and Agile methodologies • Ability to ensure the quality, security, availability, and accessibility of information • Excellent communication skills with technical and non-technical audiences • Ability to transform business needs into practical and scalable solutions • Ability to influence decisions and build trusted relationships with stakeholders • Analytical, problem-solving mindset

🏖️ Benefits

• Experience diversity and multiculturalism at Keyrus • Opportunity to work with people from different parts of the world and exchange knowledge and ideas • Collaboration, knowledge sharing, and continuous improvement • Development of expertise in data, AI, and human-centered decision-making • Projects and challenges across different industries, markets, and geographies