Big Data Solutions Developer

2 dni temu

Warszawa, Mazovia, Polska N-iX Pełny etat

About N-iX

N-iX is a leading provider of IT services and solutions. Our Scandinavian-based client was established with the mission to fundamentally transform the execution of capital projects and operations. Designed by industry experts for industry experts, Client's platform empowers users to digitally search, visualize, navigate, and collaborate on assets.

With a strong focus on innovation and customer satisfaction, Client plays an active role in advancing the global energy transition.

Your Role

We are seeking an experienced Big Data Solutions Developer to join our team. As a key member of our data engineering team, you will be responsible for designing, building, and maintaining data pipelines using Python. This will involve collaborating with an international team to develop scalable data solutions, conducting in-depth analysis and debugging of system bugs, developing and maintaining smart documentation for process consistency, and setting up and configuring new tenants. Additionally, you will work with Gitlab to manage code and collaborate with team members, utilize Databricks for data processing and management, and write integration tests to ensure the quality and reliability of data services.

You will have the opportunity to work with a range of technologies, including Python, Spark, Azure, Databricks, Snowflake, and SQL. We are looking for someone who is passionate about working with data and has experience in delivering production-grade data pipelines and troubleshooting code-based bugs. If you are a motivated and detail-oriented individual who enjoys working in a collaborative environment, we encourage you to apply.

Key Technologies

  • Python: Advanced experience in delivering production-grade data pipelines and troubleshooting code-based bugs.
  • Spark: Experience using Apache Spark.
  • Azure: Familiarity with cloud platforms (preferably Azure).
  • Databricks: Experience with Databricks, Snowflake, or similar data platforms.
  • SQL: Knowledge of relational databases, with proficiency in SQL.

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