Microsoft Fabric Data Engineer
emagine Polska
⚲ Pune
Wymagania
- Data security
- SAP BW
- Business Intelligence (BI)
- Artificial Intelligence (AI)
- SQL
- Python
- Data modeling
- Salesforce
- Data Integration
- Security
Opis stanowiska
The role of a Microsoft Fabric Data Engineer is to lead the design and development of a scalable, cloud-native data platform on Microsoft Azure while integrating data from various enterprise systems to build a unified data ecosystem. Responsibilities: • Design and implement automated data pipelines integrating multiple enterprise systems using Azure technologies. • Develop efficient data models across diverse business domains to support analytics and AI-driven insights. • Implement data governance frameworks, optimize pipeline performance, and ensure data security. • Prepare clean datasets ready for consumption by BI and AI/ML models. • Document technical details and conduct handover sessions to facilitate knowledge transfer and sustainability. Must Haves: • 7+ years of experience in Data Engineering, particularly with Microsoft Azure. • Strong expertise in Microsoft Fabric, Azure Functions, and Docker Containers. • Proficient in Python and SQL. • Experience with Apache Kafka for real-time data processing. • Understanding of data modeling and multi-source data integration. Nice to Haves: • Experience with SAP BW, SAP HANA, and Salesforce. • Familiarity with CI/CD processes and GitHub. • Knowledge of data governance and security practices. • Experience with dimensional and relational data modeling techniques. Other Details: • Timezone: CET • Working Mode: Hybrid (3 days/week in office) • Location: Koregaon Park Pune Reason (Must Have): • 7+ years of experience: This experience ensures the Data Engineer can navigate complex data integration and processing challenges effectively. • Expertise in Microsoft Fabric: Essential for building a robust Azure-based data ecosystem importantly influencing the success of data integration efforts. • Proficiency in Python and SQL: These skills are crucial for coding and manipulation of data within the automated pipelines, directly linked to key responsibilities. Reason (Nice to Have): • Experience with SAP systems: Valuable for seamless integration of existing enterprise data sources enhancing project outcomes. • CI/CD knowledge: Benefits the automation of deployment processes, crucial for maintaining efficient data pipelines.