Senior Data Engineer

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🕒 Junho 8

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Sayari

SiteLinkedInTodas as Vagas

1 - 10 funcionários

🔬 Ciência

🤝 B2B

Science • B2B

A Sayari é uma consultoria ambiental e bureau de pesquisa francês que auxilia organizações a operacionalizarem os avanços científicos mais recentes para a tomada de decisões sustentáveis. A empresa desenvolve dados ambientais, realiza avaliações de ciclo de vida e elabora estratégias para impactos ambientais de produtos, biodiversidade e resiliência hídrica. A Sayari atende a atores públicos, grandes empresas, PMEs e startups, oferecendo estudos personalizados, ferramentas e treinamentos para antecipar regulamentações, melhorar o desempenho e aumentar a atratividade para investidores e partes interessadas. Com sede em Saint-Germain-en-Laye, França, a Sayari participa de iniciativas nacionais como AGRIBALYSE e comitês de pegada ambiental.

Descrição

• Design, build, and maintain scalable data pipelines using Python, Spark, and Airflow to support our core data acquisition and entity resolution engines. • Collaborate cross-functionally with AI/ML and Product teams to implement new features and AI-native products. • Proactively identify and resolve bottlenecks in our complex ETL processes, bringing a fresh perspective to refine and optimize our existing codebase. • Contribute to a robust engineering culture through rigorous code reviews, unit testing, and clear communication of design decisions. • Own the end-to-end delivery of roadmap tasks within two-week sprints, ensuring work meets high standards for quality, documentation, and performance. • Participate in roadmap planning and story refinement, eventually taking ownership of major epics that drive our long-term product defensibility.

🎯 Requisitos

• 5 or more years of production data engineering experience, with clear ownership of systems you built and operated end to end • Strong Python, with meaningful experience in a JVM language (Scala preferred) or willingness to ramp quickly • Hands-on Snowflake experience, or equivalent depth in BigQuery or Redshift with demonstrated ability to transfer • Experience deploying and operating AI or ML applications in production, including output validation, monitoring, and cost management at scale • Orchestration experience with Apache Airflow or a comparable workflow tool • Track record of operating production systems reliably, with comfort navigating failure, monitoring, and recovery • Preferred: Experience with Spark on Dataproc Serverless or other serverless Spark environments • Familiarity with Kubernetes for deployment • Experience with data quality tooling such as deequ, Great Expectations, or equivalent • GCP experience (BigQuery, Dataproc, Cloud Storage) • Experience leading or contributing to a data warehouse migration • Background in team mergers or migrating a team onto a new operating process

🏖️ Benefícios

• 100% fully paid medical, vision, and dental for employees and their dependents • Generous time off; we observe all US federal holidays, close our office for a winter break (12/24-12/31), in addition to granting 18 PTO days and 10 sick days • Outstanding compensation package; competitive commissions for revenue roles and bonuses for non-revenue positions • A strong commitment to diversity, equity, and inclusion • Eligibility to participate in additional benefits such as 401k match up to 5%, 100% paid life insurance (up to $100,000 coverage),, and parental leave • A collaborative and positive culture - your team will be as smart and driven as you • Limitless growth and learning opportunities