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.