Data Engineer - Real-time (Streaming)

Формат работы

hybrid

Тип работы

fulltime

Грейд

middle

Английский

Страна

Hungary

Вакансия из Hirify Global, списка международных tech-компаний
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Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:

TL;DR

Data Engineer - Real-time (Streaming): Building and operating scalable real-time data platforms, streaming pipelines, event-driven applications, and self-service data products with an accent on reusable frameworks, data quality, schema management, and distributed processing. Focus on designing AWS event-driven architectures, developing Kafka and Spark workloads, and improving platform scalability, reliability, and cost-effectiveness.

Location: Budapest; hybrid model with 3 days in the office and 2 days from home

Company

hirify.global develops and operates digital gaming products and data platforms.

What you will do

Design and build scalable, reusable frameworks and services for data ingestion, transformation, and processing.
Develop platform capabilities for orchestration, data quality validation, schema management, and self-service data products.
Evolve the platform architecture to improve scalability, reliability, and cost-effectiveness.
Collaborate with Data DevOps Engineers to automate, observe, and deploy platform features through CI/CD.
Contribute to the platform roadmap by identifying and prioritizing high-value features.

Requirements

University degree in Computer Science, Engineering, or an equivalent field.
At least 3 years of hands-on experience building and operating real-time or event-driven data platforms and streaming applications.
Strong software engineering fundamentals and experience with Python, Scala, or Java.
Experience building reusable frameworks, libraries, or internal tools, with strong SQL and data integration knowledge.
Experience with Kafka, Apache Spark, distributed data processing, and NoSQL databases such as HBase, Cassandra, or DynamoDB.
Hands-on experience designing and operating event-driven architectures on AWS, including MSK, Kinesis Data Streams, EKS, EMR, Lambda, and EventBridge; excellent English communication skills required.

Nice to have

Experience with Grafana, Datadog, data modelling approaches, Airflow, APIs, microservices, Terraform, or CI/CD practices.
Knowledge of AWS Glue, Lambda, Step Functions, and S3.
Experience with Snowflake or Redshift.

Culture & Benefits

Hybrid work model with two home-working days per week.
Private health insurance and a fitness-wellness allowance.
Annual HUF devaluation compensation.
Technical and soft-skill training opportunities and career development support.
Company mobile phone with 100 GB of data for private use.
Breakfast, fruit, lunch, and team-building events.

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