Snowflake + Azure Data & DevOps Engineer

Job title: Snowflake + Azure Data & DevOps Engineer

Experience: 5+yr

Primary skills: Azure Data, DevOps Engineer, Azure Data Lake, CI/CD pipelines, Terraform , Snowflake.

Locations :Delhi/ Bangalore

Workmode :Hybrid

Qualification : Any graduation

Key Responsibilities:

● Data Engineering with Snowflake:

○ Design, develop, and maintain ETL processes within the Snowflake environment.

○ Manage structured and unstructured data storage and processing in Snowflake.

○ Optimize Snowflake data models for performance and scalability.

○ Implement and manage Role-Based Access Control (RBAC) in Snowflake.

● Azure Cloud Management:

○ Develop and manage data solutions on Azure Cloud, including Azure Active Directory,
Azure Synapse, and Azure Data Lake.

○ Ensure data integration between Snowflake and Azure services.

○ Optimize cloud resource usage for cost eciency and performance.

● DevOps Practices:

○ Implement CI/CD pipelines for data workflows and infrastructure deployments.

○ Monitor and manage cloud infrastructure and data operations for reliability and
performance.

○ Automate deployment and scaling processes using Infrastructure as Code (IaC) tools
like Terraform or ARM templates.

● Collaboration and Support:

○ Work closely with data scientists, analysts, and other stakeholders to understand
data requirements and deliver solutions.

○ Provide support and troubleshooting for data operations and cloud infrastructure.

○ Document processes, configurations, and best practices for data and DevOps
operations.

Qualifications:

● Bachelor’s degree in Computer Science, Information Technology, or a related field.

● 4 to 6 years of experience in data engineering and DevOps roles.

● Proficiency in Snowflake, including data modeling, ETL processes, and RBAC.

● Hands-on experience with Azure Cloud services such as Azure Active Directory, Azure
Synapse, and Azure Data Lake.

● Strong knowledge of DevOps practices, including CI/CD pipelines and Infrastructure as Code

(IaC).

● Proficiency in SQL