Key skills
AirflowApacheAzurePySparkPythonScalaSQLData LakeAnalyticsBIBusiness IntelligencePower BIDatabricksApache AirflowAzure SQLCosmos DB
About this role
Role Overview
- Ensure, maintain, and evolve the Data & Analytics platform.
- Design and implement data integration pipelines and analytical models.
- Develop and manage dashboards, reports, and KPIs.
- Prepare and transform data to support analytics and decision-making.
- Configure and support analytics architecture components.
- Conduct data analysis, testing, validation, and documentation.
- Deliver prototypes, workshops, and user training.
- Support stakeholders and ensure alignment with business requirements.
Requirements
- Minimum of 5 years of experience in building Big Data, Data Analytics, Business Intelligence, and Data Warehouse solutions.
- Experience with real-time and batch data processing.
- Strong knowledge of data integration and programming using T-SQL, Python, PySpark, and Scala.
- Experience working with Microsoft Azure data services, including: Azure Data Factory, Azure SQL Database, Azure Data Lake / ADLS Gen2, Azure Databricks, Azure Synapse Analytics, Azure Stream Analytics, Azure Cosmos DB, Azure Event Hubs.
- Experience with on-premises orchestration tools such as Apache Airflow.
- Knowledge of analytical modelling and semantic layer technologies, including DAX, T-SQL, and Azure Analysis Services.
- Experience in reporting and data visualization, particularly with Power BI.
- Ability to gather and document business requirements.
- Strong skills in data source analysis and data architecture design.
Tech Stack
- Airflow
- Apache
- Azure
- PySpark
- Python
- Scala
- SQL
Benefits
- Integration into a dynamic and motivated team for the performance of the role.
- Additional training.
- Salary package according to the role performed.
- Professional development.