Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Вакансия предлагает понятную специализацию в data engineering, современные облачные технологии и базы данных, а также конкретные льготы для благополучия; при этом широкий набор требований к базам данных может сделать задачи довольно насыщенными.
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Data Engineer (Automotive) (Python/SQL/AWS): Building and maintaining scalable data infrastructure and pipelines for automotive industry applications with an accent on ETL, data quality, and modern relational, NoSQL, vector, and graph databases. Focus on designing efficient data architectures, optimizing retrieval and integrity, and implementing observable cloud-based data solutions.
Location: Hybrid in Tarragona, Spain
Company
Applus+ IDIADA is a global automotive engineering company developing digital solutions and services for safer, more efficient, and sustainable vehicles.
What you will do
Design, build, and maintain scalable data infrastructure and pipelines for automotive applications.
Develop efficient ETL processes and ensure data quality, integrity, accessibility, and reliable retrieval.
Select and implement relational, NoSQL, vector, and graph database technologies for different use cases.
Design and implement cloud-based data solutions using AWS services, big data technologies, and ETL tools.
Collaborate with data scientists and analysts to translate requirements into efficient data architectures.
Work in an agile environment with Scrum, code reviews, retrospectives, and continuous innovation.
Requirements
At least 2 years of experience in data engineering projects, including the relevant experience areas described below.
Demonstrated experience with Python programming and SQL.
Strong knowledge of relational, NoSQL, vector, and graph database systems.
Experience with big data technologies and designing and implementing ETL processes.
Experience with OTEL and logging for tracing, observability, and controlling.
Proficiency in cloud-based data solutions, preferably AWS.
Knowledge of data modeling and data governance principles.
Degree in Computer Science, Software Engineering, Data Engineering, or a related field.
Fluent Spanish and English required.
Nice to have
Familiarity with vector similarity search and graph data modeling.
Certifications in cloud technologies or data engineering.
Culture & Benefits
Highly flexible hybrid work model in a multicultural organization.
Agile collaboration with a team of 80 Software Engineers.
Work-life balance support, including a subsidized canteen, free language courses, transport services, and coaching.
Environment focused on innovation, sustainability, diversity, equality, and inclusion.
Hiring process
Submit an application and complete screening questions.
Complete an HR chat, followed by an interview with the hiring team and English and attitudinal assessments.
Receive the offer and begin onboarding.
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