обновлено 4 дня назад
Core Data - Big Data Engineer
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Core Data - Big Data Engineer (Python/Java/Scala): Designing and implementing high-scale systems and data pipelines that retrieve, process, and analyze data from millions of digital users with an accent on big data processing, reliability, and customer-facing data. Focus on solving complex data challenges, productizing algorithms, eliminating infrastructure bottlenecks, and building monitoring for reliable data ingestion and calculation.
Location: Tel Aviv, Israel; hybrid work with regular in-office collaboration and the ability to work partially from home
Company
provides a digital intelligence platform that reveals online activity and data for more than 4,300 customers worldwide.
What you will do
- Design and implement complex, high-scale systems that retrieve, process, and analyze digital data.
- Collaborate with data engineers, data scientists, and data analysts to solve complex data challenges and bring algorithms into production.
- Improve code infrastructure and data pipelines while identifying and eliminating performance bottlenecks.
- Experiment with machine learning and big data processing technologies.
- Build and maintain monitoring infrastructure for reliable data ingestion and calculation.
Requirements
- At least 4 years of software or data engineering development experience.
- Professional experience with Python, Java, or Scala.
- Strong knowledge of data structures, design patterns, and object-oriented programming.
- Experience with CI/CD practices and Git.
- BSc in Computer Science, Engineering, or a related technical field.
- Strong communication, ownership, prioritization, and independent collaboration skills.
Nice to have
- Experience with Docker and Kubernetes.
- Experience designing and productizing complex big data pipelines.
- Familiarity with AWS, Azure, or GCP.
- Experience with Spark, Airflow, Kafka, Parquet, Databricks, or EMR.
Culture & Benefits
- Work on challenging algorithmic problems and products used by real customers.
- Open dialogue, autonomy, and support for employee-led ideas.
- Competitive compensation and employee benefits.
- Regular team outings and social events.
- Career development through coaching, learning solutions, and internal growth opportunities.
- Inclusive workplace focused on equality and mutual respect.
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