Azure Data Engineer

3 weeks ago


GurgaonGurugram, IN TETRAHED INC Full time

Roles and Responsibilities :

Azure Data Engineering :

- Design, develop, and maintain data pipelines using Azure Data Factory, Azure Databricks, and other Azure data services.

- Implement data storage solutions leveraging Azure SQL Database, Azure Data Lake, and other relevant Azure services.

- Ensure data integration and ETL processes are optimized for performance and reliability.

MongoDB Administration :

- Install, configure, and maintain MongoDB databases across production, staging, and development environments.

- Monitor database performance, implement strategies for improvement, and ensure high availability and disaster recovery.

- Manage database security, backup, and recovery processes to protect data integrity.

Performance Tuning And Optimization :

- Conduct performance tuning of MongoDB databases and Azure data solutions to ensure optimal performance.

- Analyze query performance, identify bottlenecks, and implement solutions to enhance efficiency.

Collaboration And Support :

- Collaborate with developers, data scientists, and other stakeholders to understand data needs and provide appropriate solutions.

- Provide support for data-related issues and assist in troubleshooting and resolving problems promptly.

Documentation And Best Practices :

- Maintain comprehensive documentation of database configurations, processes, and best practices.

- Stay updated with the latest industry trends and best practices in Azure and MongoDB technologies, and share knowledge with the team.

Qualifications :

- Bachelor's degree in Computer Science, Information Technology, or a related field.

- 3-6 years of experience in Azure data engineering and MongoDB administration.

- Proficiency in Azure data services, including Azure Data Factory, Azure Databricks, Azure SQL Database, and Azure Data Lake.

- Strong experience with MongoDB, including installation, configuration, performance tuning, and maintenance.

- Solid understanding of data integration, ETL processes, and data warehousing concepts.

- Experience with scripting and automation using languages such as PowerShell, Python, or similar.

- Excellent problem-solving skills and ability to troubleshoot complex data issues.

- Strong communication and collab

(ref:hirist.tech)
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