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1 день назад

Senior Software Engineer (Data)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Australia
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

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TL;DR

Senior Software Engineer (Data): Building and evolving real-time data ingestion platforms, focusing on designing scalable systems that stream high-quality data from Kafka to Snowflake via Snowpipe Streaming. Focus on data quality, observability, pipeline reliability, and developing robust monitoring and alerting systems.

Location: This is a hybrid role based in Melbourne, Australia, with an expectation to be in the office at least 8 days a month.

Company

hirify.global is on a mission to simplify the complexity of business and make it easy for companies and customers to create connections with customer experience software.

What you will do

  • Design, build, and maintain data quality systems and pipelines.
  • Work with tools such as Snowflake, Kubernetes, and Kafka to enable scalable, observable data movement.
  • Collaborate cross-functionally with data producers, analytics engineers, platform teams, and business stakeholders.
  • Own the reliability, scalability, and performance of ingestion systems deployed on AWS.
  • Architect and build core components of the real-time ingestion platform using Kafka and Snowpipe Streaming.
  • Drive the development of platform tools that ensure data quality, observability, and lineage through Protobuf-based schema management.

Requirements

  • Must be based in Melbourne, Australia and attend the office for part of the week.
  • Solid programming experience, preferably in Java, Python, Go, or Ruby.
  • Experience with distributed data systems (Kafka, Snowflake).
  • Familiarity with Data Quality tooling and concepts.
  • Good working knowledge of SQL (especially for diagnostics and DQ workflows).
  • Experience with containerization (Docker, Kubernetes).
  • Strong debugging, observability, and pipeline reliability practices.

Nice to have

  • Experience with GenAI tools or supporting ML/AI data workflows.
  • Familiarity with cloud-native data platforms (e.g., AWS, GCP).
  • Exposure to dbt or ELT frameworks.

Culture & Benefits

  • Hybrid way of working offering flexibility and connection, collaboration, and learning.
  • Offices designed for collaboration, quiet, and events.
  • Fulfilling and inclusive experience with a commitment to global diversity, equity, and inclusion.

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