TechHunt

Távmunka

2M – 2.3M HUF vállalkozói havonta+ÁFA

Elvárások

• CD
• Scala
• Python
• Java
• Data pipelines
• CI/CD Pipelines
• AWS
• Kubernetes
• ETL
• SQL
• NoSQL
• K8s
• Angol (B2)

Előnyt jelentő készségek

• Big data
• Spark
• Kafka
• Airflow

A mi követelményeink

Qualifications:

• Strong proficiency in Scala and the ability to design and build robust backend services. 
• Experience with Python for data pipeline development, ETL processes, or data integration Solid understanding of database systems (SQL/NoSQL) and experience working with large datasets. 
• Experience with K8S, writing and maintaining Helm Charts. 
• Familiarity with DevOps tools and practices (CI/CD, Docker, Kubernetes, Terraform,Jenkins, etc.). 
• Experience working with cloud platforms (AWS, GCP, Azure) and managing infrastructure-as-code. 
• Strong problem-solving skills, with the ability to work both independently and as part of a team. 

Nice to Have:

• Experience with other programming languages like Java, JavaScript, or Node.js. 
• Knowledge of big data tools (e.g., Spark, Kafka). 
• Experience with Airflow, Dagster, or other data orchestration tools. 
• Exposure to Machine Learning and Data Science workflows. 

Pozíció / projekt rövid leírása

Senior Data Engineer

We seek a skilled and versatile Senior Data Engineer with strong backend development experience and a solid foundation in DevOps practices. In this role, you will contribute to developing and maintaining our backend services, perform DevOps tasks such as CI/CD, infrastructure management, and participate in data pipeline design and implementation using Scala and Python. You should be comfortable working in a fast-paced environment and take full ownership of your tasks from development to testing and deliverings.

Napi feladatok

1. Develop and maintain services written in Scala/Java. 
2. Design, build, and optimize data pipelines, integrating with various data sources and ensuring data quality. 
3. Manage CI/CD pipelines, infrastructure (AWS/GCP/Azure), container orchestration (Kubernetes, Docker), and system monitoring. 
4. Participate in code reviews, pair programming, and other agile practices to ensure high-quality code. 
5. Automate deployment, monitoring, and alerting tasks for system reliability. 
6. Collaborate with front-end engineers, data engineers, and data scientists. 
7. Ensure adherence to software development best practices, security guidelines, and performance standards. 

Specifikációk

• Toborzás nyelvei: angol
• Azonnali kezdés
• Határozatlan idejű szerződés
• Távmunka
• Rugalmas munkaidő

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