NoFluffJobs Stacjonarnie Junior

Junior Data Engineer

NIX Tech Kft.

⚲ Budapest

6 874 - 13 749 PLN (PERMANENT)

Wymagania

  • Scala
  • Python
  • PySpark
  • AWS
  • GCP
  • Azure
  • Airflow
  • SQL
  • Git
  • Kafka (nice to have)
  • Kinesis (nice to have)
  • MongoDB (nice to have)
  • DynamoDB (nice to have)

Opis stanowiska

O projekcie:
NIX, a global supplier of software engineering and IT outsourcing services, is looking for a Junior Data Engineer 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:

- Competitive compensation packages.
- Stable employment, based on a full-time employment contract.
- Private health insurance (Medicare 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.
- The friendly and supportive atmosphere within the team.

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

Wymagania:
What we expect from you:

- Core Languages: Python or Scala (Focus on clean scripting), SQL (Solid basics).- Processing Frameworks: PySpark, Polars, Pandas.- Clouds (Exposure to): AWS, GCP, or Azure (understanding storage, compute, IAM).- Orchestration: Airflow, Dagster, or similar (basic concepts).- Modern Tools (You will learn): dbt, Docker, CI/CD pipelines, Databricks/Snowflake.- Experience: 1+ years of proven experience in software development with a strong focus on Python (writing clean, modular code).- Data Processing: Hands-on experience or strong familiarity with modern data processing frameworks like PySpark or Polars, Pandas- Database Knowledge: Solid understanding of SQL fundamentals (Joins, Aggregations, Window Functions) and familiarity with relational databases (PostgreSQL, MySQL, SQL Server).- Cloud Awareness: Conceptual understanding of at least one major cloud platform (AWS, GCP, Azure).- Tooling: Experience with Version Control Systems (Git) is a must.- Language: Upper-Intermediate (B2) English or higher.

Will be a plus:

- Streaming Data: Familiarity with basic concepts of streaming (Kafka, Kinesis).- NoSQL: Basic exposure to non-relational databases (MongoDB, DynamoDB).- Advanced Formats: Knowledge of modern data formats like Parquet, Avro.

Codzienne zadania:
- Build Pipelines: Develop, test, and maintain data pipelines to extract, transform, and load (ETL) data from various sources (APIs, Databases, Files).
- Code Quality: Write high-quality, maintainable Python code and participate in code reviews.
- Collaborate & Learn: Participate in technical discussions to understand tool selection and architectural decisions.
- Support: Assist the team in troubleshooting data issues and monitoring pipeline performance.
- Continuous Improvement: Actively learn new tools (like dbt, Snowflake, Terraform, or Cloud services) and share findings with the team.

🔍 Dekoder Ogłoszenia

🟡
Focus on clean scripting
Oczekuje się, że będziesz pisać kod, który jest czytelny i łatwy do utrzymania, a nie tylko działający.
🟡
Solid basics
Wymagana jest dobra, ale niekoniecznie zaawansowana znajomość SQL.
🟡
Exposure to: AWS, GCP, or Azure (understanding storage, compute, IAM)
Nie musisz być ekspertem w chmurze, wystarczy podstawowa wiedza o jej kluczowych elementach.
🟡
Basic concepts
Wystarczy zrozumienie podstawowych idei, a nie praktyczne doświadczenie w narzędziach do orkiestracji.
🟢
You will learn
Narzędzia wymienione w tej sekcji nie są wymagane na start, ale będziesz musiał się ich nauczyć w trakcie pracy.