Creating an inspiring place to thrive for the talented, we use their expertise and courage to introduce the technology of the future into your business. - This is the foundation of Mindbox and the goal of our business and technology journey. We operate and develop in four areas:
🤖 Autonomous Enterprise - automation of business processes using RPA, OCR, and AI.
🌐Business Managment Systems ERP - we implement, adapt, optimize, and maintain flexible, safe, and open ERP of production and distribution companies worldwide.
🤝Talent Network - we provide access to the best specialists.
☁️ Modern Architecture - we build integrated, sustainable, and open CI / CD environments based on containers enabling safe and more frequent delivery of proven changes in the application code.
We treat technology as a tool to achieve a goal. Thanks to our consultants' reliability and proactive approach, initial projects usually become long-term cooperation. For over 16 years, it has provided various services to support clients in digital transformation.
#LI-Hybrid
• Develop and maintain robust data pipelines to extract and transform data from Dynamics FO.
• Design storage and data integration solutions aligned with analytical requirements.
• Ensure performance and scalability of data processing workflows.
• Collaborate with BI and business teams to structure data according to analytical needs.
• Maintain data governance, quality, and documentation of data flows.
• Implement performance optimization strategies for data queries and storage.
Required Skills:
• Experience in data ingestion and transformation from Dynamics 365 FO.
• Proficiency in data processing technologies (SQL, Azure Data Factory, Synapse,
Databricks, etc.).
• Experience with ETL/ELT architectures and relational/cloud databases (Azure).
• Knowledge of data governance principles and data modeling.
• Strong communication skills with BI and business teams.
• Scripting experience (Python, PowerShell) for task automation is a plus.
Preferred Qualifications:
• 3 to 5 years of experience in data engineering.
• Experience with Microsoft Dynamics FO and its data model.
• Ability to manage data transformation and integration projects.
• Microsoft Azure Data Engineer certification is a plus.