Your tasks

• Performance tuning
• Build and maintain ETL Pipelines
• Test and Document existing pipelines
• Implement tools and various processes for Data related projects
• Promote development standards

Your skills

• Openness to work in a hybrid model (2 days from the office per week)
• Openness to visiting the client's office in Cracow once every two months (for 3 days)

• At least 4 years of experience working on Data Engineering topic

• Strong Python, PySpark & SQL

• Good understanding of Data Warehousing concepts
• Experience with GCP Data Stack(BigQuery, DataProc, Composer)
• Experience and expertise across data integration and data management with high data volumes
• Experience working in agile continuous integration/DevOps paradigm and tool set (Git, GitHub, Jenkins, Sonar, Nexus, Jira)
• Experience with different database structures, including (Postgres, SQL, Hive)

Nice to have

• Experience in working with big data – Spark, Hadoop, Hive

• Orchestration: Control-M, Airflow

• Scala
• Scripting: Bash, Python

We offer you

• Working in a highly experienced and dedicated team
• Extra benefit package that can be tailored to your personal needs (private medical coverage, sport & recreation package, lunch subsidy, life insurance, etc.)
• Contract of employment or B2B contract
• On-line training and certifications fit for career path
• Social events
• Access to e-learning platform
• Ergonomic and functional working space