Description

• Minimum 5+ years experience in modern data engineering/data warehousing/data lakes technologies on cloud platforms like Azure, Data Bricks 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(Databricks , Spark etc..) and programming skills in PySpark and Spark SQL.

• 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

Education

Any Gradute