Azure Data Engineer with Snowflake Experience

Bengaluru, KA, India

PradeepIT Consulting Services Pvt Ltd

PradeepIT, supported by Asia's largest tech professional network, revolutionizing global talent acquisition. Discover the potential of hiring top Asian tech talents at ten times the speed, starting today!

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Job Description:

We are seeking an experienced and skilled Azure Data Engineer with significant expertise in Snowflake to join our dynamic team. The ideal candidate should possess in-depth knowledge of Azure data services, and Snowflake, and have a proven track record in designing, developing, and maintaining robust data solutions.

Key Responsibilities:

1. Data Solution Design:- Collaborate with stakeholders to understand data requirements and design scalable and efficient data solutions using Azure services and Snowflake.

2. Data Modeling: - Develop and implement data models that align with business requirements and ensure optimal performance in Snowflake.

3. ETL Development: Design, develop, and maintain ETL processes to extract, transform, and load data from various sources into Snowflake using Azure Data Factory or other relevant tools.

4. Data Integration: Implement seamless data integration solutions between Azure and Snowflake platforms.

5. Optimization and Performance Tuning: Identify and resolve performance bottlenecks, optimize queries, and ensure the overall efficiency of data pipelines.

6. Data Security and Compliance: Implement and maintain data security measures, ensuring compliance with industry standards and regulations.

7. Monitoring and Maintenance: Set up monitoring processes to proactively identify issues, and perform routine maintenance tasks to ensure data integrity and system stability.

8. Documentation: Create and maintain comprehensive documentation for data engineering processes, configurations, and best practices.


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Tags: Azure Data pipelines Engineering ETL Pipelines Security Snowflake

Region: Asia/Pacific
Country: India
Job stats:  2  0  0
Category: Engineering Jobs

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