Unlock Your Potential as a Cloud Data Professional

2 days ago

Jaipur, Rajasthan, India beBeeDataEngineering Full time ₹ 60,00,000 - ₹ 1,20,00,000

Job Title: Azure Data Engineer

 

Key Responsibilities:

  • Design and Develop Data Engineering Solutions: Create scalable, efficient, and secure data engineering solutions using Azure Data Factory, Databricks, MS Synapse, and other relevant tools.
  • Develop Real-Time Data Integrations: Design and develop real-time and close-to-real-time data integrations using Kafka, MS Event Hubs, and other technologies.
  • Develop Business Intelligence Dashboards: Design and develop business intelligence dashboards using PowerBI, Azure SQL, Azure Synapse, or similar platforms.
  • Collaborate with Cross-Functional Teams: Collaborate with cross-functional teams to design and implement data-driven solutions that meet business requirements.

 

Requirements:

  • Bachelor's degree in Computer Science, Information Technology, or a related field. Master's degree is preferred.
  • 5+ years of experience in Data Engineering.
  • Extensive knowledge of SQL, Python, or other relevant tools.

 

Nice to Have:

  • Experience working with cloud-based platforms such as Azure.
  • Knowledge of DevOps practices and tools such as Docker, Kubernetes, and Ansible.

 

Pursue a Rewarding Career in Azure Data Engineering

We are seeking an experienced Azure Data Engineer to join our team. In this role, you will be responsible for designing and developing scalable, efficient, and secure data engineering solutions using Azure Data Factory, Databricks, MS Synapse, and other relevant tools.

As an Azure Data Engineer, you will work closely with cross-functional teams to design and implement data-driven solutions that meet business requirements. You will also be responsible for developing real-time and close-to-real-time data integrations using Kafka, MS Event Hubs, and other technologies.

We require a Bachelor's degree in Computer Science, Information Technology, or a related field, and 5+ years of experience in Data Engineering. You should have extensive knowledge of SQL, Python, or other relevant tools.

The ideal candidate will have experience working with cloud-based platforms such as Azure and knowledge of DevOps practices and tools such as Docker, Kubernetes, and Ansible.

In return, we offer a competitive salary and benefits package.

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