Azure Data Engineer

Position Title:

Azure Data Engineer

Location:

Seattle, US (Onsite)

Duration:

Full-Time

Rate range:

$ /hr

Basic Qualifications:

Professional-level expertise in database design, SQL, and performance tuning.

Required Skills:

• Terraform – Infrastructure as Code for cloud and data platforms
• Azure Data Factory – data ingestion, orchestration, and pipeline management
• Azure Databricks – data processing, transformation, and analytics
• Strong understanding of data security, governance, and access control
• Experience working in cloud-based data platforms, preferably Microsoft Azure
• Basic Python Scripting
• Basic Kubernetes

Preferred Qualifications:

• Experience with large-scale data platforms and analytics solutions
• Exposure to CI/CD, automation, and monitoring for data systems
• Knowledge of high availability and disaster recovery strategies

Role and responsibilities:

• Design, build, and maintain high-performance, scalable database solutions
• Manage and optimize data pipelines and integrations using Azure Data Factory
• Develop and support data processing and analytics workloads using Azure Databricks
• Provision and manage infrastructure using Terraform following IaC best practices
• Ensure data integrity, security, availability, backup, and recovery
• Collaborate with application, analytics, and platform teams to support data needs
• Monitor database health and proactively resolve performance and reliability issues

Job description:

The Azure Data Engineer will be responsible for designing, building, and maintaining scalable database solutions, optimizing data pipelines, and ensuring the integrity and security of data. The role involves collaborating with various teams to support data needs and using tools like Azure Data Factory, Azure Databricks, and Terraform to manage infrastructure and data processes.