data engineer for analytical platforms

Miratech is a global IT services and consulting company that supports digital transformation for large enterprises and startups across more than 25 countries.

• 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 using SSIS when required;
• Contribute to the design of modern cloud-based data architectures.

• 3+ Years of experience in Data Engineering or Data Warehouse development;
• Experience with Azure Databricks;
• Experience developing data pipelines using PySpark and Spark SQL;
• Solid understanding of distributed data processing and big data concepts;
• Experience with Delta Lake and Lakehouse architectures;
• Strong SQL skills and experience with SQL Server and relational databases;
• Experience building data pipelines using Azure Data Factory;
• Experience handling large datasets and optimizing performance;
• Strong analytical and problem-solving skills;
• Ability to work in collaborative environments and adapt to change;
• Commitment to continuous learning and professional development, with a focus on cloud computing;
• Good communication skills with technical and non-technical roles;
• Proactive approach to identifying improvements and proposing solutions;
• Comfort working in dynamic environments where priorities and technologies evolve;
• Nice to have: Spark optimization techniques, structured streaming in Databricks, CI/CD pipelines for data platforms with Azure DevOps, Power BI, migration from traditional ETL processes to cloud architectures.

• Competitive compensation and benefits package, including health insurance;
• Relocation program;
• Remote work flexibility;
• Professional development opportunities, including certification programs, mentorship and talent investment programs;
• Internal mobility and internship opportunities;
• Collaboration on impactful projects for top global clients;
• Inclusive and supportive multicultural work environment with open communication and regular team-building events.