Company Description

Miratech helps visionaries change the world. We are a global IT services and consulting company that brings together enterprise and start-up innovation. Today, we support digital transformation for some of the world's largest enterprises. By partnering with both large and small players, we stay at the leading edge of technology, remain nimble even as a global leader, and create technology that helps our clients further enhance their business. We are a values-driven organization and our culture of Relentless Performance has enabled over 99% of Miratech's engagements to succeed by meeting or exceeding our scope, schedule, and/or budget objectives since our inception in 1989.

Miratech has coverage across 5 continents and operates in over 25 countries around the world. Miratech retains nearly 1000 full-time professionals, and our annual growth rate exceeds 25%.

Job Description

We are looking for a Mid-Senior Data Engineer specialized in Azure Databricks to join our data platform team.

The candidate will design and develop modern data pipelines and Lakehouse architectures, leveraging Azure Databricks, Spark, and Azure Data Factory, while integrating with existing SQL Server-based data warehouse environments, also evolving our data platform towards scalable, cloud-based data architectures, enabling advanced analytics and business intelligence.

Key responsibilities:

• Design, develop, and maintain data pipelines using Azure Databricks
• Build and optimize data transformations using PySpark and SQL in Databricks
• Implement and maintain Lakehouse architectures using Delta Lake
• Develop ETL/ELT pipelines orchestrated through Azure Data Factory
• Integrate data from multiple sources into the data platform and analytical layers
• Design and maintain data models and data warehouse structures for analytics
• Ensure data quality, scalability, and performance of large-scale data processing pipelines
• Collaborate with BI teams to support Power BI and reporting platforms
• Support and evolve existing SQL Server data platforms and ETL solutions (SSIS) when required
• Contribute to the design of modern cloud-based data architectures
  
  

Qualifications

• 3+ years of experience in Data Engineering or Data Warehouse development
• Strong experience with Azure Databricks
• Experience developing data pipelines using PySpark and Spark SQL
• Solid understanding of distributed data processing and big data concepts
• Experience working with Delta Lake and Lakehouse architectures
• Strong SQL skills and experience with SQL Server relational databases
• Experience building data pipelines using Azure Data Factory
• Experience handling large datasets and performance optimization