pythonsqletldata modelingdatabricksazure data factorydata governancesynapseadls
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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$115к-165к/год
$140к$160кмедиана$190к
По похожим ролям (49) ~ $160к/год
На СНГ рынке: $3.7к/мес ($3.1к - $4.3к)
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Средняя вакансия
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Обязанности Azure-инженера данных описаны достаточно подробно, но шаблонные требования и формат консалтинга не дают понять, над каким проектом предстоит работать и как будет выглядеть ежедневная работа.
Шаблонные требования
?Работа в консалтинге
Современный стек Azure
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Azure Data Engineer (Azure Data Factory/ADLS/Synapse/Databricks): Designing, building, validating, and supporting Azure data solutions for enterprise operations, analytics, and decision-making with an accent on data integration, modeling, quality, performance, and governance. Focus on developing reliable pipelines, translating business requirements into maintainable solutions, implementing security and recovery controls, and tuning SQL and cloud data workloads.
Location: Remote; the posting also lists Sunnyvale / South Bay, CA. Direct W2 employment; applicants must have U.S. work authorization. New H-1B visa petitions cannot be sponsored.
Salary: $115,000–$165,000 annually
Company
hirify.global is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States.
What you will do
Develop and maintain data pipelines, transformations, reports, models, and platform components.
Translate source-to-target and business requirements into validated technical data solutions.
Implement data quality checks, access controls, monitoring, and failure-recovery procedures.
Tune SQL, processing jobs, models, dashboards, and platform resources for performance and cost.
Document data definitions, lineage, operational procedures, and technical decisions.
Requirements
At least 4 years of experience in a related professional role, with professional experience in data engineering, analytics, data management, or a relevant platform area.
Practical experience with Azure Data Factory, ADLS, Synapse, Azure Databricks, SQL, Python, and cloud data governance.
Strong SQL skills and practical experience with the data technologies required for the position.
Understanding of data modeling, ETL/ELT, data validation, and integration patterns.
Experience with data quality, security, access controls, and production support.
Ability to translate business requirements into accurate and maintainable data solutions.
Strong analytical, documentation, and stakeholder communication skills.
Must be eligible for direct U.S. W2 employment; new H-1B visa sponsorship is unavailable.
Nice to have
Additional hands-on depth in Azure Data Factory, ADLS, Synapse, Azure Databricks, SQL, Python, and cloud data governance.
Experience with cloud services, automation, and modern delivery practices relevant to the project.
Familiarity with secure development, accessibility, governance, or regulatory requirements where applicable.
Relevant professional certifications or advanced training in the role’s technology area.
Culture & Benefits
Full-time remote work in a collaborative environment.
Opportunities for professional growth.
Direct W2 employment.
Equal employment opportunity across hiring and employment practices.
Hiring process
Send a resume to Harry@bvteck.com or contact Harry at (908) 676-4399 for immediate consideration.
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