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Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Обязанности и технические требования описаны чётко, а задачи соответствуют профилю инженера данных. Основные нюансы - гибридный формат в Валенсии и акцент на Ab Initio.
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Современная работа с данными
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior Data Engineer (Ab Initio): Building and operating reliable, scalable data pipelines and modern data platform solutions with an accent on ETL/ELT development, data integration, modeling, and quality. Focus on workflow orchestration, performance optimization, DataOps automation, governance, and secure data provisioning for analytics, reporting, and AI applications.
Location: Hybrid position in Valencia, Spain
Company
hirify.global builds modern, secure, and scalable data solutions that support analytics, reporting, AI applications, and data-driven business decisions.
What you will do
Design, develop, maintain, and operate reliable and scalable ETL/ELT data pipelines, including workflow orchestration and automation with Ab Initio.
Integrate data from internal and external sources and provide data efficiently and securely.
Design and maintain logical and physical data models across relational and NoSQL databases, Data Warehouses, Data Lakes, and Lakehouses.
Monitor, troubleshoot, and optimize data platforms for performance, availability, and operational reliability.
Implement automated data quality checks, investigate root causes, and maintain trustworthy data assets.
Apply Data Governance, Information Security, compliance, metadata management, and audit requirements while collaborating with analysts, scientists, engineers, architects, and business stakeholders.
Requirements
Strong SQL skills and experience with relational databases; NoSQL experience is a plus.
Proficiency in at least one programming language: Python, Scala, R, or Java.
Hands-on experience designing, developing, and maintaining ETL/ELT pipelines using graphical ETL tools such as Ab Initio, Informatica, Pentaho, or similar.
Experience with workflow orchestration, scheduling, and monitoring using Apache Airflow or similar tools.
Understanding of data modeling principles and experience with Data Warehouses, Data Lakes, or Lakehouse architectures.
Familiarity with cloud platforms such as AWS, Azure, or GCP.
Experience with DataOps practices, CI/CD pipelines, automation, APIs, interfaces, and data integration patterns.
Understanding of data quality, validation, monitoring, performance optimization, Data Governance, Information Security, and data protection requirements.
Strong analytical, problem-solving, communication, and collaboration skills, with ownership and commitment to continuous learning and improvement.
Professional working proficiency in English is required.
Nice to have
German language skills.
NoSQL database experience.
Culture & Benefits
Hybrid work in Valencia.
Collaborative environment with daily communication, idea sharing, personal development support, and shared success.
Team activities include morning daily meetings and afterwork drinks.
Applicants are encouraged to apply even when their qualifications do not match every requirement.
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