Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Чётко очерченная роль Senior Data Engineer предполагает работу с большими объёмами данных и современным стеком, но без зарплатного диапазона и с консалтинговым форматом остаются вопросы к оплате и стабильности проектов.
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior Data Engineer (Python/Scala) (large-scale data platforms): Developing data capture, processing, storage, distribution, and visualization systems for more than 3.6 billion domain event messages per day with an accent on AWS, scalable distributed systems, and high availability. Focus on designing resilient architectures, processing large transaction volumes, and building cloud-based data lake capabilities with Kafka, Spark, Airflow, Hive, Kinesis, EMR, and Docker.
Location: Madrid, Spain; hybrid model with 2–3 office days per week
Company
hirify.global is a boutique technology services and consulting firm delivering digital transformation, product development, AI enablement, software engineering, and data solutions for global organisations.
What you will do
Develop data capture, processing, storage, distribution, and visualization capabilities.
Build scalable, high-performance distributed systems that process more than 3.6 billion domain event messages per day.
Apply AWS compute, storage, and database services using standard methodologies.
Write clean, maintainable, and well-tested code with a focus on availability, monitoring, and resiliency.
Propose new technical approaches, contribute to system architecture, and document solutions and design decisions.
Collaborate in an agile, multidisciplinary team focused on continuous learning and improvement.
Requirements
6–7 years of experience with at least one modern programming language, such as Python or Scala.
Experience delivering and supporting highly available and scalable solutions with large transaction volumes.
Experience with relational and non-relational databases, including strong SQL proficiency.
Experience using cloud services, preferably AWS.
Interest in data, technology, service design patterns, and system architecture.
Self-motivation, strong organizational skills, and the ability to work in a multidisciplinary team.
Culture & Benefits
Friendly, collaborative environment with knowledge sharing and continuous learning.
Bias for action and opportunities to contribute to technical direction.
Opportunity to work on a cloud-based data lake using Kafka, Spark, Scala, Airflow, Hive, Kinesis, EMR, and Docker.
Work alongside engineers and consultants across Europe, the Americas, and the Middle East.
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