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Tier-1 Big Four brand and metro senior role increase applicant density, but specialized Azure/Databricks/Snowflake skills moderate competition.
Specialized Azure/Databricks/Snowflake platform expertise makes transfers across industries moderately transferable.
Explicit 8+ years and mandatory Azure/Databricks/Snowflake and managerial requirements enforce strict shortlisting.
Lead design and implementation of data engineering solutions using Azure, Databricks, and Snowflake platforms to support data modernization.
Manage data integration, transformation processes, and oversee data infrastructure deployment ensuring scalability and performance.
Mentor and develop team members while managing projects and client relationships to deliver strategic data engineering outcomes.
Bachelor's degree required.
Minimum 8 years of professional experience.
Proficiency in English (oral and written).
Experience with Azure Data Factory, Databricks, and Snowflake platforms explicitly required.
Background in Management Information Systems, Computer/Information Science, Systems Engineering, Electrical, Chemical, Industrial Engineering, Mathematics, or Statistics preferred.
Proven experience managing data engineering projects using Agile methodologies and leading data architecture development.
Strong skills in database optimization, performance tuning, and driving data modernization initiatives.