Senior Data Engineer

🕒 November 26, 2025

🇧🇷 Brazil – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 46%

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

• Develop and maintain efficient data pipelines using technologies such as AWS S3, Glue, Redshift, Lambda, and Databricks. • Implement extraction, transformation, and loading (ELT) processes to ensure data availability and integrity. • Collaborate with internal teams to understand data requirements and design scalable solutions. • Develop scripts and code in Python / PySpark for automation and data processing. • Ensure data quality and integrity by implementing data modeling and ETL/ELT best practices. • Troubleshoot technical issues and optimize the performance of data pipelines.

🎯 Requirements

• Strong experience with AWS ELT, S3, Glue, Redshift, Lambda, Databricks, Python / PySpark, and SnapLogic. • Deep knowledge of SQL databases and relational database management systems (RDBMS). • Experience in data modeling and ETL/ELT processes. • Fluency in English.

🏖️ Benefits

• Diversity and inclusion • Continuing education