Data Engineer
генерация резюме под вакансию
сопроводительное письмо
описание
The company builds tools to help small business owners run their businesses.
задачи
- Build and maintain best-in-class data infrastructure for critical processes;
- Develop features that strengthen self-service, including for ETL and orchestration;
- Optimise processes to use compute more efficiently and reduce cost;
- Automate operations so the platform stays highly available;
- Contribute to the design and implementation of new services.
требования
- Have experience with infrastructure as code and containerisation (e.g. Terraform, Helm, Docker, Kubernetes);
- Have used modern query engines (e.g. Snowflake, Databricks, BigQuery, Trino);
- Have worked with modern data orchestration tools (e.g. Airflow, Dagster);
- Are proficient in at least one of our main languages: Python or Go;
- Bring a pragmatic, team-first mindset;
- Are self-motivated, work well independently, and can balance stakeholder needs;
- Nice to have: experience building and operating performant API layers, experience with dbt for transform, test, and documentation workflows, query optimization at scale, real-time streaming (e.g. Kafka, Flink, StarRocks, Pinot, Druid, ClickHouse), experience with systems at petabyte scale, experience implementing AI-enabled systems (e.g. agentic SRE, AI automation).
условия
- No conditions specified
навыки
Если просят войти через iCloud, отправить коды из SMS, запустить код, что-то установить, перевести деньги или сделать что угодно, связанное с деньгами, не соглашайтесь: это признаки мошенничества.