Data Engineer
4 weeks ago
**Responsibilities**:
- Design, build, and maintain scalable and reliable data pipelines using Azure Data Factory, Azure Functions, and other Azure services.
- Implement data storage solutions using Azure SQL Database, Azure Data Lake Storage, and Azure Cosmos DB.
- Design and implement Modern Lakehouse Data Warehouse using Delta Lake and Spark, ensuring scalability and reliability of data pipelines and optimal data storage and retrieval performance.
- Develop data processing and transformation solutions using Azure Databricks, Azure Stream Analytics, and Azure Data Explorer.
- Design and maintain data warehouse solutions, ensuring optimal data storage and retrieval performance.
- Ensure data quality, integrity, and compliance with data governance policies by implementing data validation, monitoring, and error-handling procedures.
- Collaborate with data scientists, analysts, and stakeholders to understand data requirements and deliver data solutions that meet business needs.
- Create and maintain visualizations and interactive dashboards using Power BI to provide actionable insights for business users.
- Optimize and fine-tune data processing and storage solutions for performance, cost-efficiency, and maintainability.
- Develop and maintain technical documentation related to data engineering solutions, processes, and best practices.
- Stay up-to-date with the latest Azure data engineering technologies, trends, and best practices to continuously improve data solutions and processes.
**Requirements**:
- Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience.
- Minimum of 3 years of data engineering experience, focusing on the Microsoft Azure ecosystem.
- Experience in writing and optimizing complex queries using T-SQL
- Strong knowledge of Azure Data Factory, Azure Databricks, Azure SQL Database, Azure Data Lake Storage, and other Azure data services.
- Proficiency in Python for data processing and manipulation, with experience in data warehousing concepts and technologies.
- Experience with ETL/ELT processes, data modeling, and data integration best practices.
- Power BI or similar data visualization tools for creating interactive dashboards and reports is a PLUS.
- Strong analytical and problem-solving skills, with an ability to quickly learn and adapt to new technologies.
- Excellent communication and collaboration skills, with a demonstrated ability to work effectively in cross-functional teams.
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