Data Engineer | Data Mesh and Streaming
  • Poznań
Data Engineer | Data Mesh and Streaming
Poznań, Poznań, Greater Poland Voivodeship, Polska
Deloitte Polska
16. 11. 2022
Informacje o stanowisku

English (regular) Big Data (regular) OLTP/OLAP (regular) Scala/ Python (regular) C (regular) SQL (regular) Microsoft Azure Cloud (regular) Who were looking forFor our fast growing Cloud Engineering practice in Central Europe we are looking for data engineer where primary goals are conducting R&D tasks, design data models, prepare solution architecture, implementing data models, data flow pipelines (batch & streaming) in Azure cloud which is part of larger transformation programs for large client from Insurance industry. We are looking for an enthusiastic, person with hands-on experience in data projects, in Azure cloud space. Project scope is to implement modern data platform based on Data Mesh concept. The whole implementation is in Azure with streaming data processing in Kafka and Azure Databricks.  Qualifications: At least 3-5 years of experience in a similar position At least 3-5 years of experience in on-premise BI/Big Data class solutions or 3 years of experience of working in the Azure cloud environment dealing with data analytics Knowledge of SQL (any dialect, T-SQL, PL/SQL...) Knowledge of Scala or Python Advanced understanding of most of the listed concepts from the field of relational databases, data warehouses, analytical bases (OLTP/OLAP), BigData, data processing and transformation processes (ETL/ELT) Experience in some of Azure services like Azure SQL Database, Azure Databricks, Azure Synapse Analytics, Azure Data Factory, Azure Data Lake, Azure Stream Analytics, Azure Analysis Services, PowerBI Problem-solving skills and analytical thinking Knowledge of English in speaking and writing Willingness to develop in the field of public cloud Moreover, the following will be an advantage: Cloud certifications in the data area in Azure: Azure Fundamentals Azure Data Engineer Associate Experience with data streaming (Databricks Structured Streaming, Kafka) Understanding of Data Mesh concept

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