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Описание вакансии
Коротко о роли
We are looking for a Middle Data Engineer with strong Snowflake, SQL and dbt skills to build and support production data pipelines. • 2+ years of data engineering experience.
Responsibilities:
— Build and support production data pipelines using Snowflake, SQL, and dbt.
— Perform hourly ingestion 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 such as schema changes, failed hooks, missing files, and jobs that fail halfway.
Requirements:
— At least 2 years of experience in data engineering.
— Hands-on experience with Snowflake features including streams, Time Travel, data sharing, and various table types.
— Advanced SQL skills; live coding in Snowflake is part of the interview.
— Experience with dbt including macros, pre- and post-hooks, and SCD Type 2.
— Experience with Azure Data Factory or Azure Synapse Pipelines, including self-hosted integration runtimes.
— Proficiency in Python and PySpark.
— Familiarity with Git, pull-request workflows, code review, and automated testing.
Nice to Have:
— Experience with Azure Function Apps and Logic Apps.
— Knowledge of Microsoft Defender for scanning incoming files.
— Experience with Databricks.
— Familiarity with orchestration tools such as Airflow.
Benefits:
— Fully remote work.
— Performance-based bonus.
— Professional growth opportunities.
Hiring Process:
1. Online coding assessment.
2. Technical interview.
3. Final discussion with the manager.
AI tools and outside help are not allowed during interviews. Sessions are recorded.
Контакты работодателя доступны по кнопке «Откликнуться» после входа.
62/100
Средняя вакансия
Оценка от Job Hunters AI
Middle Data Engineer — Snowflake / dbt / Azure; компания не названа; прозрачная оплата; понятные задачи; гибкий формат.
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#middle #dataengineer #snowflake … Middle Data Engineer — Snowflake / dbt / Azure … We are looking for a Middle Data Engineer with strong Snowflake, SQL and dbt skills to build and support production data pipelines.
Мэтч и сопроводительное
Сравним вакансию с вашим действующим резюме и составим письмо под эту роль.
ГибридSan Francisco Bay Area, USA; Team members are expected to work from our San Francisco office three full days per week, with the remaining days worked remotely and are expected to be available during agreed working hours and to maintain sufficient overlap with the relevant team’s time zone
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