Back
Tier-1 brand and Bengaluru metro increase candidate density, niche Azure/Databricks/Snowflake skills temper competition.
Strong dependence on Azure, Databricks, Snowflake and data architecture makes cross-industry transfers difficult.
Explicit 8+ years requirement plus mandatory Azure/Databricks/Snowflake expertise makes shortlisting highly strict.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Lead design and implementation of data engineering solutions on Azure, Databricks, and Snowflake platforms.
Manage data integration, transformation, pipeline development, and infrastructure deployment to support modernization and ensure scalability and performance.
Mentor and develop team members while aligning data strategies with business objectives and implementing data security best practices.
Bachelor's degree required.
Minimum 8 years of work experience.
Proficiency in English (oral and written).
Experience with Azure, Databricks, and Snowflake platforms is strongly implied but not explicitly stated as mandatory.
Background in fields like Management Information Systems, Computer and Information Science, Systems or Electrical Engineering, Mathematics, or Statistics.
Experienced in Azure Data Factory, Databricks, Snowflake Data Warehouse, and Agile project management.
Demonstrated leadership in data architecture, team management, and driving data modernization initiatives.