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