Senior Java Developer

1 miesiąc temu

Wrocław, Polska Link Group Pełny etat
Job Overview:

We are seeking a highly skilled professional to join our team as a Java and Scala Developer. The ideal candidate will have strong foundational knowledge in computer science and expertise in distributed systems, particularly Apache Spark.

This role will involve working on large-scale data processing, optimizing data pipelines, and implementing open-source table formats like Apache Iceberg, Delta Lake, and Apache Hudi. You will also work with open Lakehouse architecture tools such as Unity Catalog, Polaris Catalog, and MLflow.

Key Responsibilities:
  • Design, develop, and optimize distributed applications using Java and Scala to support large-scale data processing and analytics.
  • Leverage deep knowledge of Apache Spark internals to build efficient data pipelines, focusing on performance and scalability.
  • Work with open-source table formats like Apache Iceberg, Delta Lake, Apache Hudi, and Apache Xtable to manage large datasets effectively.
  • Implement solutions for open Lakehouse architectures, including cataloging systems like Unity Catalog and Polaris Catalog, and manage machine learning workflows using MLflow.
  • Apply a strong understanding of data structures, caching mechanisms, networking, and database management to build efficient systems.
  • Collaborate closely with data engineers, machine learning engineers, and other stakeholders to deliver solutions that meet business requirements.
Key Requirements:
  • Experience:
  • Mid to senior-level (3+ years) experience in Java or Scala development.
  • Fresh graduates with a Master's degree in Computer Science or a related field are also encouraged to apply.
  • Computer Science Knowledge: Strong understanding of core concepts such as data structures, caching strategies, networking, and database systems.
  • Apache Spark: In-depth knowledge of Apache Spark internals, including job execution, query optimization, and distributed data processing.
  • Open Source Table Formats: Hands-on experience with Apache Iceberg, Delta Lake, Apache Hudi, or Apache Xtable.
  • Lakehouse & MLflow: Familiarity with open Lakehouse architecture tools such as Unity Catalog, Polaris Catalog, and MLflow for data management and machine learning integration.
  • Problem-Solving: Ability to identify, troubleshoot, and solve complex issues in large-scale distributed systems.
Preferred Qualifications:
  • Cloud Platforms: Experience with cloud platforms like AWS, GCP, or Azure.
  • CI/CD & Version Control: Familiarity with CI/CD pipelines and version control systems such as Git and GitHub.
  • Machine Learning Integration: Understanding of machine learning workflows and their integration into data pipelines.

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