Data Engineer

Responsiblties:

• Develops, optimizes, and manages ETL/ELT pipelines.
• Designs scalable architectures for large-scale data processing within the Azure ecosystem.
• Implements data integration solutions using Azure Synapse Pipelines, Azure Data Factory, and other Azure-native tools.
• Integrates data from enterprise data sources nto cloud-based data solutions.
• Establishes CI/CD pipelines using Git and related tools for automated deployment and monitoring of data solutions.
• Troubleshoots, optimizes, and maintains the performance of data pipelines and cloud-based platforms.
• Collaborates with business and technical teams to architect robust data solutions and drive insights from data.
• Applies best practices for data governance, security, and data quality using Azure Purview and other governance tools.

Key Skills:

• Machine learning.
• Programming.
• Databases.
• SQL.
• Cloud computing.
• Big data.
• Data pipelines.
• NoSQL databases.
• Python.