Scala Software Engineer @

4 days ago

Kraków, Lesser Poland, Czech Republic Antal Full time

 Requirements:

  • Hands-on experience with Apache Spark using both Scala and Java (not PySpark)
  • Strong background in building core applications and implementing complex data processing logic
  • Solid understanding of HDFS and YARN – including their purpose and real-world usage
  • Broad experience with ETL processes and Big Data technologies
  • Knowledge of version control and CI/CD tools (Git, Bitbucket, Jenkins, Maven)
  • Comfortable working in distributed, international teams; strong communication in English (min. B2)

Nice to Have:

  • Experience with Google Cloud Platform (GCP) for deploying and managing data services
  • Hands-on familiarity with Kubernetes and Airflow
  • Exposure to the ELK stack
  • Working knowledge of Linux, Bash scripting, basic Python
  • Familiarity with the Spring framework

Scala Software Engineer – Scala + Java + Spark
Location:  Poland (2 days in office in Kraków per month)

Are you passionate about big data, building core components, and developing complex business logic with modern technologies like Spark and cloud platforms?

We're looking for a Scala Software Engineer  to join a global team that's shaping a next-generation analytics and surveillance platform within a highly regulated environment. If you enjoy hands-on development, end-to-end ownership, and working with both Scala and Java, this is the role for you.

What We Offer:
  • A key role in a globally important initiative, focused on compliance and surveillance
  • Modern tech stack with real ownership of your code in production
  • A collaborative, DevOps-oriented culture
  • The opportunity to shape technical decisions early in a long-term project
  • Work with highly skilled professionals in Poland and globally
,[Design and implement core components for large-scale data processing using Scala and Java, Build and optimize data pipelines to consolidate and transform data from multiple sources into meaningful business datasets, Leverage Apache Spark (in both Scala and Java) to develop scalable processing solutions, Onboard new data sources and develop ingestion and transformation logic, Collaborate with Data Scientists to productionize analytics models, Ensure development aligns with CI/CD and TDD best practices, Cooperate with architects and business stakeholders to ensure scalable, high-quality solutions, Participate in end-to-end delivery including deployment and monitoring in production] Requirements: Apache Spark, Scala, Java, PySpark, HDFS, Yarn, ETL, Big Data, CD tools, Bitbucket, Jenkins, Maven, Google Cloud Platform, Kubernetes, Airflow, ELK Stack, Linux, Bash, Python, Spring Framework

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