Azure Data Engineer with Snowflake Experience

PradeepIT Consulting Services Pvt Ltd; Bengaluru; On-site; INR 1,500,000 - 2,600,000; Full time

Job summary

A leading data solutions provider in Bengaluru is seeking an Azure Data Engineer experienced in Snowflake. The role involves designing and developing robust data solutions, optimizing performance, and ensuring data security compliance. Ideal candidates should have a strong background in Azure data services and ETL processes. Join a dynamic team to drive data engineering excellence!

Qualifications

• In-depth knowledge of Azure data services and Snowflake.
• Proven track record in designing, developing, and maintaining data solutions.
• Experience with performance tuning and data security measures.

Responsibilities

• Collaborate with stakeholders to design scalable data solutions.
• Develop and implement data models for optimal performance in Snowflake.
• Design, develop, and maintain ETL processes.
• Data Integration: Implement seamless data integration solutions between Azure and Snowflake platforms.
• Optimization and Performance Tuning: Identify and resolve performance bottlenecks, optimize queries, and ensure the overall efficiency of data pipelines.
• Data Security and Compliance: Implement and maintain data security measures, ensuring compliance with industry standards and regulations.
• Monitoring and Maintenance: Set up monitoring processes to proactively identify issues, and perform routine maintenance tasks to ensure data integrity and system stability.
• Documentation: Create and maintain comprehensive documentation for data engineering processes, configurations, and best practices.

Skills

Azure Data Services

Snowflake

ETL Processes

Data Modeling

Data Integration

Tools

Azure Data Factory

Job description

Azure Data Engineer with Snowflake Experience

About the job Azure Data Engineer with Snowflake Experience

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.