Senior Data Engineer

February 28

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avra

We created avra with a clear goal - to empower growth stage founders with the right foundation required to scale their company post Series A.

2 - 10 employees

πŸ“‹ Description

β€’ Deploy, monitor, and maintain AI models in production, ensuring optimal performance and scalability. β€’ Build and optimize real-time data ingestion and processing pipelines using AWS Kinesis. β€’ Maintain and update our heterogeneous relationship graph on AWS Neptune to ensure data accuracy and relevance. β€’ Work closely with the Research team to integrate data flows that support advanced AI analytics. β€’ Develop robust data architectures that facilitate efficient storage, retrieval, and processing of high-volume data. β€’ Implement and promote data quality, security, and scalability standards across all engineering practices. β€’ Partner with various teams to ensure data engineering initiatives align with our strategic vision.

🎯 Requirements

β€’ 5+ years in data engineering with a proven track record of deploying scalable data architectures. β€’ Solid experience with AWS services and proficiency in programming languages such as Python, Java, or Scala. β€’ Strong understanding of data modeling, ETL processes, and real-time data processing. β€’ Familiarity with CI/CD pipelines and modern software development practices. β€’ Excellent communication skills and the ability to work effectively within a remote, cross-functional team.

πŸ–οΈ Benefits

β€’ Attractive salary, equity participation, and full transparency in our compensation structure. β€’ Directly contribute to a platform that empowers strategic decisions for large enterprises. β€’ Tackle challenging, cutting-edge data engineering projects in a deep tech startup used by leading banks and fintechs in LATAM. β€’ Enjoy 100% remote work with the option of using our SΓ£o Paulo office, unlimited vacation, and a comprehensive benefits package including a national health plan and generous parental leave.

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