Miratech is hiring a Middle Data Engineer (Azure Databricks)

About the Role

The candidate will develop and manage data engineering solutions using Azure Databricks, ensuring reliable data pipelines and integration with analytics systems.

Responsibilities

• Design and implement data pipelines using Azure Databricks
• Develop and maintain ETL workflows for large-scale datasets
• Collaborate with data analysts and scientists to support analytics needs
• Optimize data storage and query performance in cloud environments
• Ensure data quality and integrity across processing stages
• Integrate data from multiple sources into centralized platforms
• Support the deployment of data solutions in production environments
• Monitor and troubleshoot data pipeline performance issues
• Apply data modeling techniques to support business reporting
• Work with infrastructure teams to manage cloud resources
• Document technical designs and system configurations
• Follow best practices for data security and compliance
• Participate in code reviews and technical planning sessions
• Contribute to continuous improvement of data engineering processes
• Assist in defining standards for data architecture and tooling

Nice to Have

• Experience with Azure Data Factory or similar orchestration tools
• Exposure to DevOps practices in data projects
• Knowledge of containerization and microservices architecture
• Familiarity with monitoring and logging tools for data pipelines
• Background in financial or enterprise-scale data environments

Compensation

Competitive salary based on experience and qualifications

Work Arrangement

Hybrid work model with flexibility for remote and office-based work

Team

Collaborative environment within a technology-driven team focused on data platforms and cloud integration

Technology Stack

• Primary tools include Azure Databricks, Azure Data Lake, Azure Blob Storage, and Azure Synapse Analytics
• Development practices emphasize automation, testing, and infrastructure as code

Project Focus

• Current initiatives involve building scalable data pipelines for business intelligence and machine learning use cases
• Projects aim to improve data accessibility and processing efficiency across departments

Visa sponsorship may be available for qualified candidates