
High Salary Data Engineer
2 weeks ago
Build and maintain ETL pipelines using Azure Data Factory and Azure Databricks
- Manage data integration and transformation using Azure Data Lake, Azure SQL Database, and Blob Storage
- Develop production-grade code using Python with libraries such as Pandas and PySpark
- Write and optimize complex SQL queries for large-scale datasets
- Collaborate with cross-functional teams to deliver end-to-end data solutions
- Troubleshoot pipeline issues, ensure data quality, and support operational workflows
- Support and enable data scientists and analysts with clean and timely data
- Participate in Agile ceremonies and contribute to continuous improvement
Technical Requirements :
- 6 - 12 years of experience as a Data Engineer or related role
- Strong expertise with Azure Data Services - Data Factory, Databricks, Data Lake, Blob Storage, and Azure SQL
- Proficiency in Python programming and data manipulation libraries like Pandas, PySpark
- Strong working knowledge of SQL for data querying and transformations
- Solid understanding of ETL design patterns and data warehousing principles
- Exposure to Azure DevOps (CI/CD, Git) for managing code and pipelines
- Good to have : knowledge of cloud security, big data tools (e.g., Apache Spark), and data science workflows
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