Azure Data Engineer
1 month ago
Note : Immediate joiner's only. 1st, 3rd and 5th Saturdays are working
Interview mode : Walkin Drive interview on 10th-Aug-24 (Saturday) at Gurgaon location (F2F)
Role : Azure data engineering
Location : Gurgaon
Experience : 3+ years
Mandatory :
- DataBricks Engineer, SQL Engineer and a Mongodb Engineer
- Little with any bid data exp (Hands on)
Roles and Responsibilities :
1. 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.
2. 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.
3. 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.
4. 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 to 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 collaboration skills, with the ability to work effectively in a team-oriented environment.
(ref:hirist.tech)
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