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data engineer
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ai-инструментыЧтобы адаптировать резюме под вакансию или составить сопроводительное письмо, загрузи резюме
описание
задачи
- Ingest hourly data from SQL Server and 24/7 OLTP systems
- Ingest files from customer NAS shares and APIs into Azure Blob Storage
- Build and maintain dbt models in Snowflake
- Handle production issues, including schema changes, failed hooks, missing files, and jobs that fail halfway
требования
- 2+ Years of data engineering experience
- Hands-on experience with Snowflake streams, Time Travel, data sharing, and standard, transient, hybrid, and Iceberg tables
- Advanced SQL skills
- Experience with dbt macros shared across projects, pre- and post-hooks, and SCD Type 2
- Experience with Azure Data Factory or Azure Synapse Pipelines, including self-hosted integration runtimes
- Python and PySpark skills
- Git and pull-request workflows, code review, and automated testing
- Будет плюсом: Azure Function Apps and Logic Apps, Microsoft Defender for scanning incoming files, Databricks, orchestration tools such as Airflow
условия
- Performance-based bonus
- Professional growth opportunities
- Online coding assessment, technical interview, and final discussion with the manager
- AI tools and outside help are not allowed during interviews; sessions are recorded
навыки
Если просят выйти из iCloud, прислать код из SMS, запустить или установить что-то, перевести деньги — не соглашайся: это мошенничество.