Senior Microsoft Fabric Data Engineer/Architect

1 week ago

Newark, NJ, United States Purple Drive Full time

Role Name - Senior Microsoft Fabric Data Engineer/Architect

EXPERIENCE_RANGE_IN_REQUIRED_SKILLS_ Azure, Microsoft Fabric, Pyspark, SQL, Data Modelling

ROLE_DESCRIPTION -

Note that this is not a remote position and customer expects the candidate to be in office (Newark, NJ) 3 days in a week (Tue, Wed & Thurs)

No OPT please. We need experienced resources.

Azure Data Architect/Fabric Data Engineer with Microsoft Fabric Experience

• Minimum 5+ year's 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 12 + 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

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