Data Platform Specialist

• The platform provides a secure, cloud-hosted analytics workbench supporting modern analytics and data science workflows, including:
• Notebook-based development environments (Python / R style workflows)- SQL-based querying and data transformation
• Dashboarding and visualization tools (e.g. Tableau, Power BI, Apache Superset or equivalent)- Cloud-native infrastructure (e.g. AWS-based environments)
• Secure multi-user collaboration with governance and auditability

Essential Experience-

• Strong hands-on experience with cloud-based data and analytics platforms.
• Background in data engineering, analytics platforms, or data science enablement.
• Proven experience contributing directly to build and implementation.
• Experience taking initiatives from POC to MVP or production.
• Understanding of security, governance, reuse, and scalability considerations.
• Ability to simplify complexity and communicate technical trade-offs clearly.