Data Engineer

Job Description

RESPONSIBILITIES 

• Design, develop, test, and deploy advanced data engineering solutions using Azure SQL Server, Python, PySpark, Databricks, and Azure Synapse.
• Optimize data models and queries for performance and resource efficiency.
• Build scalable data processing pipelines using Python and PySpark for large-scale data transformation and analytics.
• Implement and manage Databricks and Azure Synapse environments for big data processing and analytics.
• Develop and maintain data transformation models in dbt and Azure Data Factory.
• Ensure proper source control and deployment practices using Git and CI/CD tools (Azure DevOps, GitHub).
• Collaborate with stakeholders to understand requirements and deliver technical solutions aligned with business needs.
• Guarantee data accuracy and integrity through data quality checks and cleansing processes.
• Performance tuning of SQL queries and data processing scripts.
• Manage and optimize the data platform for cost and performance, including proactive monitoring and self-healing design patterns.

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