Project Role Description :Act as software detectives, provide a agile service identifying and solving issues within multiple components of critical business systems.
Must have skills :Databricks Unified Data Analytics Platform
Good to have skills :NA
Minimum 5 year(s) of experience is required
Educational Qualification :15 years full time education
Summary:
Responsible for engineering Databricks as a scalable enterprise Lakehouse platform. Focus on workspace configuration, governance, Unity Catalog, automation, observability, and cross-platform integrations.
Roles Responsibilities:
-Databricks workspace administration
-Unity Catalog governance and security
-AWS integration (IAM roles, instance profiles, networking)
-Databricks Workflows and REST API
Professional Technical Skills::
-Must Have Skills:Spark/Python familiarity
-Knowledge of serverless capabilities and monitoring tools
Additional Information:
-Configure and maintain Databricks workspaces, clusters, and access controls.
-Implement Unity Catalog-based governance models.
-Develop automation for platform operations (jobs, metadata, security).
-Integrate Databricks with enterprise data platforms and identity mechanisms.
-Manage platform reliability, monitoring, and upgrades.
-Strong communication and cross-platform collaboration
-Ability to work across architecture, security, and engineering teams
Qualification15 years full time education
📌 Application Support Engineer (Bengaluru)
🏢 Accenture
📍 Bengaluru
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