Senior Data Engineer (Hadoop, Spark)

GFT Poland is hiring for a Senior Data Engineer role based in Kraków, Poland, working in a hybrid model with 2 office days per week. The position involves working in a technical team alongside Engineers, Data Analysts, and Business Analysts in an Agile and DevOps environment.

• Experience with Pyspark or Scala development and design
• Experience using scheduling tools such as Airflow
• Knowledge of Hadoop ecosystem including Spark, Hive, YARN, and ETL frameworks
• Strong SQL and RESTful services knowledge
• Experience working on Unix or Linux platforms
• Hands-on experience building data pipelines using Hadoop components
• Experience with Git, GitHub, Jenkins, Ansible, and JIRA
• Understanding of big data modelling using relational and non-relational techniques
• Experience debugging code and communicating findings to development teams

Nice to have:

• Experience with Elasticsearch
• Experience developing Java APIs
• Experience in data ingestion processes
• Understanding of cloud design patterns
• Exposure to DevOps and Agile methodologies such as Scrum and Kanban
• Experience with Spark streaming
• Experience with Apache Airflow in production
• Experience with Hadoop ecosystem in enterprise environments
• Knowledge of Python backend services
• Experience with Scala for high performance systems
• Experience in data integration and ETL processes
• Knowledge of PL/SQL
• Experience with Linux and Unix system operations

• Define and contribute to software design and development using Pyspark
• Automate testing of new and existing components
• Promote development standards through code reviews and mentoring
• Provide production support and troubleshooting
• Implement tools and processes ensuring performance, scalability, and monitoring
• Collaborate with Business Analysts to interpret and implement requirements
• Participate in planning, sprint reviews, and retrospectives
• Contribute to system architecture and design