Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Мало
$144к-193к/год
$160к$180кмедиана$210к
По похожим ролям (49) ~ $180к/год
На СНГ рынке: $3.8к/мес ($3к - $4.3к)
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Понятная senior-позиция в известной компании с современным стеком, но зарплата ниже рыночной медианы по данным платформы.
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Ниже рынкаСовременный стекПонятные задачиИзвестная компания
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Sr Data Engineer (AWS): Building scalable data warehouses and ELT pipelines for Content Performance, Content Engagement, Cast, and Operations data with an accent on AWS, Snowflake, SQL, and dimensional modeling. Focus on designing medallion-structured data assets, tuning large-scale queries, maintaining reliable pipelines, and meeting operational SLAs.
Location: Anaheim, California, United States
Salary: $144,100–$193,200 per year, plus potential bonus, long-term incentives, and benefits.
Company
Disney Experiences Tech & Digital creates digital and physical guest experiences for Disney parks, resorts, cruise lines, vacation clubs, attractions, food and beverage, transportation, and merchandise.
What you will do
Design and grow data products and data warehouses for Content Performance and Content Engagement data.
Develop scalable data warehousing solutions and ELT pipelines across cloud, on-premise, and hybrid environments.
Use AWS, Snowflake, DBT, Automic UC4, and Airflow to transform, store, retrieve, and distribute Cast and Operations data.
Architect data frameworks and define data assets using dimensional modeling and medallion structures.
Collaborate with Data Product Managers, Data Architects, and Data Engineers to deliver data solutions.
Maintain documentation, data quality, governance, operational efficiency, and SLA compliance while supporting agile and Scrum practices.
Requirements
5+ years of data engineering experience developing large data pipelines.
Strong SQL and expert-level SQL/T-SQL skills, including query development and tuning.
Hands-on experience with AWS services such as Lambda, Kinesis, DMS, AppFlow, and EventBridge.
Experience with at least one major MPP or cloud database, including Snowflake, Redshift, or BigQuery.
Experience with Airflow, data integration, data pipeline maintenance, data modeling, and data warehousing methodologies.
Bachelor’s degree in a relevant technical field or equivalent work experience; agile and Scrum experience is required.
Nice to have
Master’s degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or a comparable field.
Culture & Benefits
Work within an experienced Data Products & Platforms engineering group.
Support customers across Data Science, Data Analytics, and Business teams.
Medical, financial, and other benefits may be provided.
Potential bonus and long-term incentive units may be included in the compensation package.
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