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Must Have Technical/Functional Skills; Must-Have Technical Skills; Must-Have Functional Skills
Requirements:
Azure Data Services Expertise: Azure Synapse (mandatory), Azure Data Factory (ADF), Databricks, ADLS, Azure Analysis Services, Power BI, and Azure Monitor
Data Architecture & Modelling: Strong experience in dimensional, relational, and NoSQL storage design
data modelling (normalized, star, snowflake schemas), EDW & ODS
Cloud Data Implementation: Proven experience in designing and implementing secure, scalable cloud data solutions on Azure
familiarity with MPP architectures
Data Integration & Processing: ETL (batch and real-time), streaming services, and integration techniques for large-scale data flows
Data Lake & Cloud Warehouse: Hands-on experience with ADLS and Azure Synapse
working knowledge of Snowflake and AWS Lake Formation
Predictive Analytics & ML: Basic understanding of statistical modelling, linear/logistic regression, and exploratory data analysis
Master Data Management: Expertise in MDM and reference data management practices
Domain Knowledge: Deep understanding of upstream systems such as ERP, CRM, Sales Operations (territory/quota management), pricing, contract management, and master data systems
End-to-End Architecture Design: Ability to design high-level and low-level solutions, including data management and processing flows
Business Intelligence & Analytics: Strong background in BI solution design, data profiling, and reporting requirements
Collaboration & Integration: Work closely with enterprise architects, technical leads, and cross-functional teams to integrate technology and functionality
Solution Review & Governance: Conduct design reviews, ensure compliance with governance standards, and accommodate feedback from stakeholders
Communication & Leadership: Clear communication between business stakeholders and IT teams
ability to guide teams through technical challenges