Scala Data Specialist (Medior/Senior) @ Nix Tech Kft.

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• English level B2+.
  
• Years of commercial experience 3+.
  
• Proven experience in Scala and Java development.
  
• Strong expertise in AWS, with practical experience in deploying and managing services.
  
• Proficient in working with MongoDB and Snowflake databases.
  
• Extensive experience with Apache Spark for data processing.
  
• Solid understanding of data warehousing concepts and best practices.
  
• Ability to work independently and as part of a team.
  
• Strong problem-solving skills and attention to detail.
  
• Excellent communication and interpersonal skills.
  
• Proactiveness in seeking and implementing better approaches and solutions to optimize data processing, storage, and analysis.
  

WILL BE A PLUS:

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• Previous experience in LMS or educational technology projects.
  
• Familiarity with other data processing and analytics tools.
  
• Knowledge of software development best practices and methodologies.
  

NIX, a global supplier of software engineering and IT outsourcing services, is looking for a Scala Data Specialist (Medior/Senior) 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 CAN WE OFFER YOU:

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• 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.
  

If you feel you’re ready to join the team, apply for this job now! We’re already looking forward to meeting you!

,[Develop and maintain scalable applications using Scala and Java to support data collection, processing and analysis., Design, implement, and manage AWS services to build and maintain a robust data warehouse infrastructure., Handle data storage solutions using MongoDB and Snowflake for efficient data management., Utilize Apache Spark for large-scale data processing and analytics., Collaborate closely with cross-functional teams (product, data science, analysts) to define, design, and ship new features that enhance our data capabilities., Identify and resolve performance bottlenecks, fix bugs and ensure high-quality data pipelines., Develop and deliver reports tailored to the needs of different user groups within the platform (e.G., students, instructors, administrators)., Work within an Agile methodology, participating in sprint planning, daily stand-ups and code reviews., Contribute to maintaining code quality and code organization.] Requirements:
Scala, Data engineering, AWS, MongoDB, Snowflake, ETL, ELT, Database, Orchestration, Cloud, Big data, Spark, Spring, Java, LMS, data processing and analytics tools Tools:
Jira, Confluence. Additionally:
International projects, Paid English courses, Mentoring program, Bike parking, Free coffee, Playroom, Shower, Free snacks, Modern office, No dress code.