- English level Upper-Intermediate (B2) and higher
- 1+ years of proven experience developing software using Scala
- Good knowledge of SQL
- Being familiar with one or more of the following databases – PostgreSQL, MySQL, Oracle, MSSQL
- Being familiar with basic concepts and technologies of streaming data processing (real-time, near real-time)
- Understanding of data warehousing principles and modeling concepts
- Understanding of Version Control Systems (such as Git)
- A team player with excellent collaboration skills
- Being familiar with any cloud platform (GCP, AWS, Azure) basics concepts
- Being familiar with the basic concepts of distributed computing approaches, patterns, and technologies
- Basic knowledge of basic concepts of non-relational databases (MongoDB)
- Experience with any orchestration tools (Kafka, Flink, etc.)
- Competitive compensation packages.
- Stable employment, based on a full-time employment contract.
- Private health insurance (Medicover Сlinic).
- AYCM sport pass, providing discounts at various sports facilities in Hungary.
- Interesting tasks and diverse opportunities for developing your skills.
- Free training courses.
- Participation in internal and external thematic events, technical conferences.
- A spacious office in the heart of Budapest (13th district).
- All necessary devices and tools for your work.
- Active corporate life.
WILL BE A PLUS:
NIX, a global supplier of software engineering and IT outsourcing services, is looking for a Junior Data Engineer Scala in its office in Budapest (Vaci Greens, 13th district). You’ll be part of a team of professionals who are ready to find the best tailor-made IT solutions for their multinational clients in various industries and solve complex problems.
WHAT WE OFFER:
If you feel you’re ready to join the team, apply for this job now! We’re already looking forward to meeting you!
,[Collaborate with the team to implement new features to support the growing data needs, Build and maintain pipelines to extract, transform, and load data from a wide variety of data sources, Monitor and anticipate trends in data engineering and propose changes in alignment with organizational goals and needs, Share knowledge with other teams on various data engineering or project-related topics, Collaborate with the team to decide on which tools and strategies to use within specific data integration scenarios] Requirements: SQL, PostgreSQL, MySQL, Scala, MSSQL, Data, Kafka, Flink, MongoDB, GCP, AWS, Azure Additionally: International projects, Paid English courses, Mentoring program, Bike parking, Free coffee, Playroom, Shower, Free snacks, Modern office, No dress code.
PostgreSQL Git apache-flink Scala Amazon Web Services (AWS) MongoDB Apache Kafka Azure Microsoft SQL Server Oracle Google Cloud Platform (GCP) SQL MySQL