Data Engineer

• Design, develop, and optimize data engineering solutions within Azure environments, ensuring efficient data models, reliable integrations, and processes that guarantee data quality, accessibility, and performance to support analytics, reporting, and strategic business decision-making.
• Design, develop, and maintain data models that support analytical needs across various business domains.
• Create domain entities to ensure data is organized and accessible for analysis, reporting, and business intelligence with normalized data model.
• Collaborate with data analysts, data scientists, and other stakeholders to understand data requirements and translate them into effective data solutions.
• Implement data integration processes using Azure Data Factory, Azure Databricks, and other ETL tools.
• Utilize Python for data manipulation, transformation, and analysis within Azure Databricks.
• Optimize data storage solutions in Azure, ensuring efficient retrieval and performance.
• Monitor and troubleshoot data ingestion and transformation pipelines and processes to ensure data quality and integrity.
• Maintain documentation of data models, architecture, and processes for reference and compliance.
• Stay updated with the latest trends and technologies in data engineering and Azure services to continuously improve data solutions.