Azure Data Engineer
4 months ago
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The Role
Job Description
Position: Azure Data Engineer
Location: Greater Noida & Bangalore
Experience: 8 - 12 years
Key Responsibilities:
Data Engineering and Management:
- Design, develop, and maintain scalable data pipelines and ETL processes using Azure Data Factory.
- Manage and optimize data storage solutions with Azure Data Lake and Azure Synapse Analytics.
Azure Integration and Automation:
- Utilize Azure Pipelines for CI/CD of data solutions.
- Implement and maintain data workflows using Azure Logic Apps.
Data Transformation and Processing:
- Develop and maintain data transformation processes for data warehousing and analytics.
- Perform complex data processing and transformations.
Collaboration and Coordination:
- Work closely with data scientists, analysts, and stakeholders to understand data requirements.
- Collaborate with cross-functional teams for seamless data integration and delivery.
Performance Optimization:
- Monitor and optimize performance of data pipelines, ETL processes, and data storage solutions.
- Identify and resolve performance bottlenecks.
Project Management:
- Participate in project planning, execution, and monitoring for timely delivery of data solutions.
- Provide regular status updates and communicate issues or risks to stakeholders.
Ideal Profile
Qualifications:
Experience:
- Minimum of 8 years in a Data Engineer or similar role.
- Proven experience with Azure Data Lake, Azure Synapse Analytics, Azure Data Factory, Azure Pipelines, and Azure Logic Apps.
- Expertise in designing and implementing data solutions on the Azure platform.
Skills:
- Proficiency in data modeling, warehousing, and integration techniques.
- Strong understanding of data architecture and design principles.
- Excellent problem-solving, analytical, communication, and collaboration skills.
- Ability to work effectively in a fast-paced, collaborative environment.
Education:
- Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.
What's on Offer?
- Cutting-Edge Technology: Lead the design, development, and maintenance of data pipelines and ETL processes using Azure Data Factory. Work on the latest technologies to optimize data storage solutions with Azure Data Lake and Azure Synapse Analytics.
- Collaborative & Innovative Environment: Utilize Azure Pipelines for CI/CD, manage data workflows with Azure Logic Apps, and collaborate with top-tier data scientists and analysts.
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