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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%.

We are looking for experienced Azure Databricks Data Engineer / Data Architectto design, build, and optimize scalable data platforms in a modern cloud environment. This role involves hands‑on development of ETL/ELT pipelines, data quality automation, cloud migration, and implementation of governance frameworks supporting analytics, BI, and ML use cases.

• Architect, design, and implement scalable data solutions on Azure and Databricks.
• Build, automate, and orchestrate robust ETL/ELT pipelines using CI/CD best practices.
• Ensure data quality through automated unit, integration, and validation testing.
• Manage data ingestion and integration from on‑premise systems to cloud environments.
• Implement and maintain Data Governance frameworks using Azure Purview and Unity Catalog.
• Optimize cloud data architectures for performance, security, and cost efficiency.
• Collaborate with analytics, BI, and ML teams to ensure high‑quality data availability.
• Monitor and maintain data platform reliability, scalability, and compliance.

• Strong proficiency in Python and Apache Spark for large‑scale distributed data processing.
• Solid experience with SQL and NoSQL databases, including data modeling and query optimization.
• Hands‑on experience designing workflows using data pipeline orchestration tools (e.g., ADF, Airflow, Databricks Workflows).
• Experience with cloud‑native data platforms, ideally in Azure.
• Familiarity with Infrastructure as Code (IaC) tools such as Terraform or ARM templates.
• Understanding of data quality frameworks, testing methodologies, and CI/CD pipelines.
• Exposure to Business Intelligence (BI) and Machine Learning (ML) scenarios, ensuring data readiness for advanced analytics.
• Strong analytical, problem‑solving, and communication skills.

• Experience with Microsoft Azure ecosystem (Azure Data Factory, Synapse, Azure Storage, Azure Functions).
• Hands‑on experience with Databricks (Delta Lake, Unity Catalog, Workflows, Optimizations).
• Relevant certifications (e.g., Azure Data Engineer, Databricks Data Engineer Associate/Professional).

We offer:

• Culture of Relentless Performance: join an unstoppable technology development team with a 99% project success rate and more than 30% year‑over‑year revenue growth.
• Competitive Pay and Benefits: enjoy a comprehensive compensation and benefits package, including health insurance, and a relocation program.
• Work From Anywhere Culture: make the most of the flexibility that comes with remote work.
• Growth Mindset: reap the benefits of a range of professional development opportunities, including certification programs, mentorship and talent investment programs, internal mobility and internship opportunities.
• Global Impact: collaborate on impactful projects for top global clients and shape the future of industries.
• Welcoming Multicultural Environment: be a part of a dynamic, global team and thrive in an inclusive and supportive work environment with open communication and regular team‑building company social events.
• Social Sustainability Values: join our sustainable business practices focused on five pillars, including IT education, community empowerment, fair operating practices, environmental sustainability, and gender equality.