Full Time
Hybrid
Mid-Level
0
Job Skills
- Microsoft Azure
Basic Information
The doValue Group is the main activity operator in Southern Europe for the management of credit assets and real estate arising from non-performing loans, with over 20 years of experience and approximately €140 billion worth of assets under management.
We are looking for an Azure Data Engineer to join our team and share our values to work as a Team Together in order to provide the best solutions to our clients.
Responsibilities
What will your typical day to day look like? You will:
- Design, Build, Test and Deploy advanced ETL processes to move and transform enterprise data.
- Work closely with business and vendors for the delivery of large-scale Cloud DWH/BI solutions to support their operational, tactical and strategic reporting as well as other analytical business needs.
- Participate in the end-to-end delivery lifecycle of such projects from business requirements gathering to solution design, development, testing and roll-out.
- Participate in workshops with client’s stakeholders to validate business requirements & functional specifications.
- Leverage data analysis skills to analyze business areas, understand source systems data and map them to DWH data model.
Benefits
- Competitive remuneration package
- Hybrid working environment
- Private health insurance
- Pension plan
- Yearly bonus based on performance
- Childcare expences
- Exclusive interest rates for Eurobank products
Basic Requirements
- 2+ years of previous working experience in DWH/BI projects preferably in the Banking or Servicing industry.
- Knowledge of Data Management and Data Warehousing concepts (ETL, Staging/Target Area, Dimensional Modeling, Data Marts etc.).
- Knowledge over Azure Data platforms (Data Factory, Synapse Analytics, Azure SQL DW, Data Lake, Analysis Services, etc.).
- Advanced analytical abilities & problem-solving skills.
- Ability to meet deadlines with high attention to detail and quality.
- Strong analytical thinking and problem-solving skills with excellent communication in both Greek and English language.
Good to have
- Knowledge of Data Visualization tools (PowerBI).
- Experience with Analytics programming languages (e.g. Spark, Python, R) and platforms (e.g. Databricks).
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