Poznań, Poznań, Greater Poland Voivodeship, Polska
Deloitte Polska
7. 4. 2024
Informacje o stanowisku
technologies-expected :
SQL
T-SQL
PL/SQL
Scala
Python
Microsoft Azure
technologies-optional :
Kafka
about-project :
For 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.
responsibilities :
Proposing solution architecture based on cloud solutions
Develop data-related solutions (i.e. BigData, Modern Data Warehouse, Data Warehouse Modernization, Data Analytics) based on the cloud environment (Azure, GCP, AWS).
Streaming data processing
Develop solutions in selected specializations in the area of data transformation (ETL / ELT), advanced analytics (OLAP) and reports
Develop Data Governance solutions (Data Quality, Master Data Management, Metadata Management etc.)
Support the process of implementing changes into the existing software
Participate in the planning and tasks estimation process
Cooperate with an external client with respect to analysis and performance of indicated tasks
Communicate with an external client
Desire for intensive development in the field of cloud technologies with a focus on data analytics
requirements-expected :
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
offered :
Working from office or home office – what you prefer
Flexible working hours
Permanent employment or contract
Medical and health insurance
Multisport and other lifestyle benefits
Language courses
A development path to fit your needs
Friendly coworkers & team spirit
Wide variety of projects
Multiple geographies and clients
Work for well-known brands
Exposure to trailblazing business and technology projects
A place in the first line of a digital transformation
Everyday opportunities to influence how and where we do our business
benefits :
sharing the costs of sports activities
private medical care
sharing the costs of foreign language classes
sharing the costs of professional training & courses
