Senior Data Engineer, AWS

🔥 17 hours 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

• Design, develop, and maintain scalable data pipelines for enterprise analytics and reporting • Develop batch and near-real-time data ingestion processes from multiple sources • Build and optimize ETL/ELT solutions • Implement and manage Data Lake and Data Warehouse architectures in cloud environments • Develop data transformations using Databricks, Apache Spark, and PySpark • Create integrations with AWS Glue, Lambda, and S3 • Ensure data quality, consistency, traceability, and governance • Monitor, troubleshoot, and optimize pipeline performance and reliability • Work with BI teams to support analytics solutions and enterprise reporting • Develop and optimize models and integrations for Qlik Sense and QlikView • Collaborate with architects, data analysts, BI developers, and business stakeholders • Participate in code reviews, architecture decisions, and continuous improvement initiatives • Document processes, data models, integration flows, and operational procedures

🎯 Requirements

• Degree in Computer Science, Information Systems, Engineering, or a related field • 5+ years of professional experience in the field • Experience developing pipelines, ETL/ELT processes, and modern Data Lake and Data Warehouse architectures • Strong proficiency in Databricks and Apache Spark (PySpark) • Advanced programming skills in Python and SQL • Experience with data modeling • Hands-on experience with AWS Glue, AWS Lambda, Amazon S3, and AWS IAM • Experience working on Business Intelligence and Analytics projects • Experience integrating and modeling data for Qlik Sense/QlikView • Knowledge of Git and CI/CD • Fluent English for communication and collaboration with diverse teams

🏖️ Benefits

• Remote work environment • Exposure to people from around the world in a multicultural environment • Opportunities to develop skills and expertise in data, AI, and decision-making • Opportunities for collaboration, knowledge sharing, and continuous improvement