Company DescriptionMiratech 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 DescriptionWe are looking for experienced Azure Databricks Data Engineer / Data Architect to 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.Key Responsibilities- 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.Qualifications- 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.Nice to Have- 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).Additional InformationWe 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.Summary- Type: Full-time- Function: Information Technology- Experience level: Mid-Senior Level- Industry: Information Technology And Services