Senior Snowflake and Azure Data Engineering Lead
7 days ago
We are seeking an experienced Senior Snowflake and Azure Data Engineering Lead to join our innovative team at Elucidata Corporation. This role requires a blend of data engineering and DevOps skills to ensure seamless data operations, scalability, and reliability.
The ideal candidate will have 5-6 years of experience in managing and optimizing data solutions, integrating Snowflake and Azure environments, and implementing DevOps practices. A Bachelor's degree in Computer Science, Information Technology, or a related field is required. The salary for this position is approximately ₹18-22 lakhs per annum, depending on location.
About the Role
This role involves designing, developing, and maintaining ETL processes within the Snowflake environment. Additionally, you will manage structured and unstructured data storage and processing in Snowflake, optimize Snowflake data models for performance and scalability, and implement and manage Role-Based Access Control (RBAC) in Snowflake. You will also develop and manage data solutions on Azure Cloud, including Azure Active Directory, Azure Synapse, and Azure Data Lake. Your responsibilities will include ensuring data integration between Snowflake and Azure services, optimizing cloud resource usage for cost efficiency and performance, and implementing CI/CD pipelines for data workflows and infrastructure deployments.
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 efficiency 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.
Required Skills and Qualifications
- Bachelor's degree in Computer Science, Information Technology, or a related field.
- 4-6 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.
Preferred Skills
- Experience with containerization technologies like Docker and orchestration tools like Kubernetes.
- Familiarity with monitoring and logging tools such as Azure Monitor, Prometheus, or Grafana.
- Familiarity with Python scripting.
- Strong problem-solving skills and attention to detail.
- Excellent communication and collaboration abilities.
- Ability to work independently and as part of a team.
- Familiarity with data governance and compliance requirements.
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