Ability to define technical architecture, effectively communicate the architecture to senior executives, create a roadmap from technology validation to implementation and build frameworks for industrialized implementations
Excellent communication and leadership skills, with the ability to work effectively with technical and business stakeholders.
Strong problem-solving and analytical skills, with the ability to define, analyze & refine complex data engineering architectures
Experience with modern data engineering tools (e.g., Databricks, Snowflake) and data visualization tools (e.g., PowerBI).
Experience with data streaming and change data capture technologies (like ADF), and various relational, columnar, graph and vector databases.
In-depth knowledge of Azure services, including Azure Synapse Analytics, Azure Data Factory, Azure Storage, and Azure SQL Database.
Proficiency in developing and optimizing data processing workflows using Python, Spark, SQL.