Position: Data Engineer
Company: Skelia
Experience required: 3y
English level: upper

Our client is a leading and rapidly developing global consultancy Digital agency. Due to daily direct contact with our customer, we require solid communication skills. This position grants a competitive employment package, a friendly and collaborative work environment, and frequent business trips.
YOUR PROFILE
•	4+ full years of experience with ETL or ELT 
•	Experience with Azure Databricks 
•	Good skills in Spark: SparkSQL and PySpark is an asset 
•	Experience with Azure platform (Azure Data Factory, Data lake, Azure SQL) 
•	You have good level of written and spoken English 
•	You are a quick learner 
•	You have a problem-solving attitude 
•	You are a communicative person who takes on responsibility when necessary
Technical skills:
Knowledge of Azure Databricks and Azure Data Factory, more specifically:
•	ETL or ELT: traditional BI or data engineering – very important 
•	Azure Databricks: concepts and workings – very important 
•	Spark: SparkSQL and PySpark – very important 
•	Azure Data Factory: setting up pipelines – important 
•	Azure Data Lake storage - important 
•	Azure SQL – important 
•	DevOps experience – important, but not a showstopper 
•	Azure KeyVault – important, but not a showstopper 
•	Machine learning experience – less important, but could be interesting