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Software Mind развивает решения, которые влияют на бизнес клиентов по всему миру, создавая межфункциональные команды разработчиков. Ваша роль — строить и оптимизировать конвейеры данных на GCP, писать трансформации на SQL и dbt в BigQuery, работать с Kafka и NiFi, поддерживать операции конвейеров и принимать участие в архитектурном обсуждении вместе с заказчиком.
Требуется опыт работы с ETL/ELT, SQL, dbt, BigQuery, Kafka и NiFi, знание GCP и английский язык для командной коммуникации.
Software Mind develops solutions that make an impact for companies around the globe. Tech giants & unicorns, transformative projects, emerging technologies and limitless opportunities – these are a few words that describe an average day for us. Building cross-functional engineering teams that take ownership and crave more means we’re always on the lookout for talented people who bring passion and creativity to every project.
Build, maintain and improve data pipelines and ingestion processes on GCP. Develop data transformations in SQL and dbt on BigQuery, and work with streaming and ingestion tools such as Kafka and Apache NiFi. Support pipeline operations and tooling set up across the whole development lifecycle, including production data workflows. Design scalable, reliable and maintainable data solutions together with teammates and the client’s stakeholders. Take part in architecture discussions and propose improvements on your own initiative. Use GitLab, Jira and AI-assisted development tools such as Claude or Antigravity in daily work. Work day to day with the client’s Senior Product Owner and Lead Data Developer as part of a mixed client and Software Mind team.
Hands‑on experience with ETL/ELT workflows and building data pipelines. Strong SQL and experience with dbt or another SQL-based transformation tool. Experience with BigQuery or a similar cloud data warehouse. Experience with Kafka and with ingestion tools such as Apache NiFi. Knowledge of GCP or another cloud platform. Practical understanding of tool setup, pipeline operations and running production data workflows. Comfortable working with GitLab and Jira, and interest in using AI tools in development. English that allows smooth communication in the team, plus ownership of your work, a proactive attitude and willingness to learn.