Azure Data Engineer

1 month ago


GurgaonGurugram, India HNM Solutions Full time

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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