Informacje o stanowisku

technologies-expected :

• Spark
• AWS
• SQL
• Java
• Python
• Scala
• Git

• We have multiple Java + Spark, Scala + Spark, Python + Spark teams and we may try to match you to multiple teams or just find you single best fit depends on your skills and experience.

• Design, implement, and maintain petabyte-scale big data pipelines using Spark (Java, Python, or Scala - depending on the team), Apache Airflow, Kubernetes, and other technologies
• Optimize performance - working with big data is highly specific: sometimes IO-bound, sometimes CPU-bound. You’ll help figure out the most efficient approaches
• Collaborate closely with other big data teams
• Work with technologies such as AWS, Kubernetes, Airflow, EMR, Hadoop, Linux/Ubuntu, Kafka, and Spark

• Solid understanding of Spark basics, building blocks, and mechanics
• Strong knowledge of Python, Java, or Scala
• 1+ years of experience with Spark
• Good SQL skills
• Understanding of data quality issues in large datasets
• 1+ years of experience with Linux
• Professional working proficiency in English
• Understanding of HTTP API communication patterns and protocol
• Good software debugging skills
• Deep understanding of at least one technical area
• Solid Git understanding
• Strong communication skills

• Real big data projects (PB scale)
• An international team (US, PL, IE, CL)
• A small, independent team working environment
• High influence on working environment
• Hands on environment
• Flexible work time
• Fully remote or in-office work in Wroclaw, Poland

• sharing the costs of sports activities
• private medical care
• flexible working time
• integration events
• parking space for employees

Wrocław - Oferty pracy w okolicznych lokalizacjach