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Senior Azure Data Engineer with Microsoft Fabric Experience
Job Responsibility:
Build and maintain new and existing applications in preparation for a large-scale architectural migration within an Agile function
Align with the Product Owner and Scrum Master in assessing business needs and transforming them into scalable applications
Build and maintain code to manage data received from heterogenous data formats including web- based sources, internal/external databases, flat files, heterogenous data formats (binary, ASCII)
Help build new enterprise Datawarehouse and maintain the existing one
Design and support effective storage and retrieval of very large internal and external data set and be forward think about the convergence strategy with our Azure cloud migration
Assess the impact of scaling up and scaling out and ensure sustained data management and data delivery performance
Requirements:
Minimum 10+ years experience in modern data engineering/data warehousing/data lakes technologies on cloud platforms like Azure, Microsoft Fabric etc.
Azure experience is preferred over other cloud platforms
Minimum 10 + years of proven experience with SQL, schema design and dimensional data modelling
Solid knowledge of data warehouse best practices, development standards and methodologies
Experience with ETL/ELT tools like ADF, Azure, MS Fabric etc., and data warehousing technologies like Azure Synapse, Azure SQL, ADLS etc.
Strong experience with big data tools(Microsoft Fabric, Databricks , Spark etc..) and programming skills in PySpark and Spark SQL
Be an independent self-learner with a let s get this done approach and ability to work in Fast paced and Dynamic environment
Knowledge in Microsoft Fabric Data Platform
Expertise in designing application solution on Azure Data Platform for complex business needs
Serves as key technical expert engaged on designing, architecting, deploying and maintaining cloud solutions, Data Management & Analytics
Strong knowledge of ETL patterns for data ingestion, processing and distribution using pipelines on Azure cloud services
Leads technology proof of concepts to ensure feasibility of architecture solutions
Provides architecture direction for engineers in support of a technical pattern
Displays strong thought leadership in pursuit of modern data architecture principles and technology modernization
Drives continuous technology transformation to minimize technical debt
Continuously improve efficiency and effectiveness of the architecture
Looks for opportunities to capitalize on technology advances through analysis of key industry and technology trends to assess potential impact on the enterprise
Participates in defining target state technology architecture and roadmaps
Ensures alignment of IT initiatives with the target state