Data Engineer, AWS

🔥 35 minutes ago

🇧🇷 Brazil – Remote

⏰ Full Time

🟡 Mid-level

🟠 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

• Design and evolve modern, scalable, reliable, and high-performance data architectures • Build and optimize data pipelines for Analytics, BI, and data-driven decision-making • Architect cloud data engineering and distributed processing solutions • Integrate different data sources and platforms, ensuring data quality, availability, and governance • Continuously improve the data platform by enhancing performance, reliability, and efficiency • Work with business and BI teams to transform requirements into sustainable data solutions • Develop and maintain scalable pipelines for corporate analytics and reporting • Build batch and near-real-time ingestion processes • Perform the transformation and processing of large volumes of data • Participate in code reviews, architecture definition, and continuous improvement initiatives • Collaborate with architects, BI teams, analysts, developers, and business stakeholders

🎯 Requirements

• Fluent English for daily collaboration with global teams • Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field • Strong experience with Databricks • Advanced knowledge of Apache Spark (PySpark) • Advanced Python programming skills • Experience designing and implementing data pipelines and ETL/ELT processes • Practical knowledge of AWS Glue, AWS Lambda, Amazon S3, and AWS IAM • Strong command of SQL and data modeling • Experience with modern Data Lake and Data Warehouse architectures • Experience working on Business Intelligence and Analytics projects • Experience with data integration and modeling for Qlik Sense/QlikView • Knowledge of code version control (Git) and CI/CD practices • Strong analytical and complex problem-solving skills • Ability to document processes, data models, integration flows, and operating procedures

🏖️ Benefits

• Exposure to people from around the world • Exchange of knowledge and ideas • Diverse and multicultural environment • Opportunities for collaboration across specialties, functions, and geographies