6 часов назад
Senior/Lead GCP Data Engineer
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior/Lead GCP Data Engineer (GCP/PySpark/Airflow): Building and optimizing scalable cloud-native data platforms and pipelines on Google Cloud Platform with an accent on data ingestion, transformation, modeling, reliability, and AI enablement. Focus on designing production-ready data assets for analytics, machine learning, MLOps, and emerging Agentic AI use cases while evolving batch processing toward streaming and event-driven architectures.
Location: Istanbul, Vadistanbul office. Hybrid work includes office attendance two days per week during three weeks of each month, with one fully remote week monthly; additional remote flexibility is available throughout August.
Company
provides scalable software, data management, automation, and operational services across ING's international banking network.
What you will do
- Design, develop, and maintain scalable cloud-native data pipelines on Google Cloud Platform.
- Build and optimize data ingestion, transformation, and storage solutions for large-scale datasets.
- Develop reliable data models supporting analytics, reporting, machine learning, and AI use cases.
- Translate business requirements into technical data solutions in collaboration with data, analytics, ML, software, and product teams.
- Implement automated testing, CI/CD, code reviews, and other software engineering practices.
- Improve platform reliability, observability, performance, and support for AI and MLOps initiatives.
Requirements
- Bachelor's degree or equivalent practical experience.
- Hands-on experience building complex data pipelines with PySpark, Airflow, or similar technologies.
- Strong programming skills in Python and SQL, with experience in data modeling and relational or distributed databases.
- Knowledge of software engineering practices, including testing, CI/CD, version control, and code reviews.
- Experience with Google Cloud Platform services including BigQuery, Cloud Storage, and Cloud Composer.
- Ability to communicate effectively and collaborate in globally distributed teams.
Nice to have
- Infrastructure provisioning, deployment automation, monitoring, and observability experience, including ELK Stack.
- Familiarity with MLOps architectures, large-scale data transformation, and event-driven or streaming architectures.
- Experience with Vertex AI, Dialogflow, Agentic AI systems, chatbots, or voicebots.
- Knowledge of Kafka, Pub/Sub, Dataflow, or dbt.
Culture & Benefits
- Fourteen days of welcome leave in the first year.
- Career growth, continuous learning, and international project opportunities.
- Informal, collaborative, and innovation-focused working environment using PACE methodology.
- Private health insurance for employees and families, plus a private pension plan.
- Meal card, transportation allowance, MultiSport membership, and English language development support.
Hiring process
- Submit an application through the Workday careers platform.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →