Microsoft Fabric Data Engineer
⚲ Pune
Do uzgodnienia
Wymagania
- Data modeling
- Documentation
- ERP
- Security
- SQL
- SAP BW
- Python
- Business Intelligence (BI)
- Operations
- Artificial Intelligence (AI)
Opis stanowiska
Introduction & Summary
We are seeking a Microsoft Fabric Data Engineer with over 7 years of experience to spearhead the design and development of a cloud-native data platform leveraging Microsoft Azure. This position involves the integration of data from numerous enterprise systems to build a cohesive, intelligent data ecosystem tailored for diverse business domains.
Main Responsibilities
The primary duties include:
• Designing and implementing automated data pipelines that integrate over 10 enterprise systems.
• Developing efficient data models to support analytics and AI-driven insights.
• Establishing robust data governance frameworks to ensure quality and access control.
• Enabling AI and analytics through the delivery of structured datasets.
• Preparing comprehensive technical documentation and conducting knowledge transfer sessions.
Key Requirements
• Proficient in Microsoft Fabric (MS Fabric).
• Solid experience in Python programming.
• Strong SQL skills.
• Expertise with Azure Functions.
• Experience with Apache Kafka.
• Knowledge of Docker Containers.
• Familiarity with Data Modeling (Dimensional & Relational).
• Experience with Multi-Source Data Integration (including SAP BW, SAP HANA, Labware, etc.).
• Understanding of Event-Driven Architecture and Real-Time Data Processing.
• Skills in Data Governance and Security.
• Experience with CI/CD and GitHub.
Nice to Have
• Experience with SAP DataSphere and SAP ERP.
• Proficiency in performance tuning and ETL/ELT processes.
• Strong ownership and ability to work independently in delivering end-to-end solutions.
We are seeking a Microsoft Fabric Data Engineer with over 7 years of experience to spearhead the design and development of a cloud-native data platform leveraging Microsoft Azure. This position involves the integration of data from numerous enterprise systems to build a cohesive, intelligent data ecosystem tailored for diverse business domains.
Main Responsibilities
The primary duties include:
• Designing and implementing automated data pipelines that integrate over 10 enterprise systems.
• Developing efficient data models to support analytics and AI-driven insights.
• Establishing robust data governance frameworks to ensure quality and access control.
• Enabling AI and analytics through the delivery of structured datasets.
• Preparing comprehensive technical documentation and conducting knowledge transfer sessions.
Key Requirements
• Proficient in Microsoft Fabric (MS Fabric).
• Solid experience in Python programming.
• Strong SQL skills.
• Expertise with Azure Functions.
• Experience with Apache Kafka.
• Knowledge of Docker Containers.
• Familiarity with Data Modeling (Dimensional & Relational).
• Experience with Multi-Source Data Integration (including SAP BW, SAP HANA, Labware, etc.).
• Understanding of Event-Driven Architecture and Real-Time Data Processing.
• Skills in Data Governance and Security.
• Experience with CI/CD and GitHub.
Nice to Have
• Experience with SAP DataSphere and SAP ERP.
• Proficiency in performance tuning and ETL/ELT processes.
• Strong ownership and ability to work independently in delivering end-to-end solutions.
🔍 Dekoder Ogłoszenia
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spearhead the design and development of a cloud-native data platform leveraging Microsoft Azure
Oczekuje się, że będziesz inicjatorem i głównym architektem platformy, a nie tylko wykonawcą istniejących założeń.
🔴
integration of data from numerous enterprise systems to build a cohesive, intelligent data ecosystem tailored for diverse business domains
Przygotuj się na pracę z wieloma, prawdopodobnie niejednolitymi i trudnymi do integracji systemami, co może oznaczać dużo 'czyszczenia' danych.
🔴
over 7 years of experience
Wymagane jest bardzo doświadczenie, co może oznaczać, że szukają kogoś, kto od razu będzie samodzielny i nie będzie potrzebował dużo szkoleń.
🔴
Establishing robust data governance frameworks
Może to oznaczać tworzenie procesów od zera w obszarze, który może być zaniedbany lub chaotyczny.
🔴
Preparing comprehensive technical documentation and conducting knowledge transfer sessions
Oprócz pracy technicznej, będziesz musiał poświęcić czas na dokumentowanie i szkolenie innych, co może zwiększyć obciążenie pracą.