Задачи сфокусированы на инженерии данных и актуальном стеке Azure, но уровень Senior не вполне согласуется с требованием 3-6 лет опыта, а работа по времени США может повлиять на повседневный график.
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Неясный грейдГрафик по СШААктуальный стекПонятные задачи
Оценка от Hirify AI
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Текст:
Hirify AI/Оригинал
TL;DR
Senior Data Engineer (Azure Databricks): Building and optimizing data pipelines for a US-based project with an accent on Azure Databricks, Python, SQL, PySpark, and DevOps. Focus on implementing ETL/ELT workflows, ensuring data quality through testing and monitoring, and providing production support during US business hours.
Location: Remote; Qarshi, Uzbekistan; US business hours
Company
YAKUBOVS SCHOOL is hiring for a US-based project with an international team.
What you will do
Build and optimize data pipelines using Azure Databricks, Python, SQL, and PySpark.
Work with Azure Cloud, ETL/ELT processes, and DevOps/CI/CD practices.
Implement data quality, testing, monitoring, and production support practices.
Analyze and solve data engineering problems independently while collaborating with an international team.
Requirements
3–6 years of data engineering experience and senior-level experience.
Strong hands-on experience with Azure Databricks, Python, SQL, and PySpark.
Knowledge of Azure Cloud, ETL/ELT, and DevOps/CI/CD.
Experience building and optimizing data pipelines.
Understanding of data quality, testing, monitoring, and production support.
Strong problem-solving skills and the ability to work independently.
Advanced or fluent English and availability to work during US business hours.
Nice to have
Experience with Terraform, enterprise data platforms, healthcare data, or financial data.
Culture & Benefits
Remote work.
Collaboration with an international team on a US-based project.
Full-time employment.
Hiring process
Submit an updated CV.
Provide years of data engineering and Azure Databricks experience, English proficiency, experience with US-based clients, and availability during US business hours.
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