Resumo da vaga

Principal Data Engineer- PerfectScale by DoiT

Requisitos e responsabilidades

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Responsibilities

  • System Ownership: Design, build, and deploy large-scale distributed systems and high-throughput data pipelines using Go and cloud-native technologies.
  • Architecture & Code: Lead system-wide architectural decisions, focusing on data flow, performance, and resilience. Actively contribute to the codebase with high quality code.
  • Technical Leadership: Lead major technical initiatives, reduce technical debt and ensure the platform meets the reliability and scalability SLAs. Champion best engineering practices, code quality, testing and maintainability.
  • Collaborate with product and engineering teams and R&D management to define the technical roadmap, review architecture and mentor junior engineers

Qualifications

  • Experience: 8+ years of backend engineering experience, with 3+ years architecting high-load systems or data pipelines in a production environment.
  • Backend Stack: Deep expertise in distributed systems using modern languages (Go, Java, Rust, or Python).
  • Data Systems: Strong, hands-on experience with relational and analytical databases (Postgres, ClickHouse is preferred).
  • Cloud-Native: Proven experience with microservices, containers, and modern DevOps practices (Docker, Kubernetes, GitOps, CI/CD).
  • Skills: Demonstrated ability to combine hands-on coding with architectural leadership, including strong debugging, benchmarking, and performance optimization skills.

Bonus Points

  • Deep Golang expertise
  • Deep Kubernetes Knowledge
  • Experience with modern data engineering technologies: Spark, Trino, Iceberg, Parquet, ClickHouse, DBT
  • DBA background (relational, OLAP, columnar)
  • Expertise in telemetry and time series
  • Cloud expertise (AWS, GCP, Azure)

Full-time employee benefits include:

  • Unlimited PTO
  • Flexible Working Options
  • Health Insurance
  • Parental Leave
  • Employee Stock Option Plan
  • Home Office Allowance
  • Professional Development Stipend
  • Peer Recognition Program
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FocoData EngineeringÁrea da vaga
Sinal de senioridadeLead, SeniorNível do candidato
StackAWS, Azure, CI/CDSkills principais
Localização60 países aceitosElegibilidade

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