Databricks is Hiring Intern Trainee Engineer

Performing initial analysis and troubleshooting issues in product deployment, data migration, workspace recovery, Networking setup, IAM functionalities of Databricks AWS/Azure/GCP Cloud environments.
Assist the technical support team members in setting up cloud resources, notebook environment, cloud labs, test bed, log downloads setup, networking for reproducing Platform issues.
Provide proactive solutions/suggestions for the Platform library integration issues.
Provide initial level of analysis around third party integrations with Databricks environment.
Review Support team JIRA tickets and proactively intimate the support leadership team for following up on the action items.
Assist in the development of tools/automation initiatives.
Manage Customer Support Cases on a daily basis and adhere to committed SLA's.

Experience in designing, building, testing, and maintaining Python/Java/Scala based applications.
Proven experience in a real time project or an academic project on the subject areas
Conceptual understanding and hands-on experience with any SQL-based database, Data Warehousing/ETL technologies like Informatica, DataStage, Oracle, Teradata, SQL Server, MySQL
is preferred.
Good Linux/Unix administration skills is preferred
Basic understanding or a good hands-on project experience with AWS/Azure/GCP Ecosystems in
either an administrative, development, or support role is preferred.
Excellent written and oral communication skills
Demonstrated analytical and problem-solving skills, particularly those that apply to “Distributed Big
Data Computing” environments.

Performing initial analysis and troubleshooting issues in Spark using Spark UI metrics, DAG, Event Logs for various customer reported job slowness issues.
Performing initial analysis and troubleshooting issues in product deployment, data migration, and working closely with the Platform support team.
Performing initial analysis and troubleshooting issues in product deployment, data migration, and working closely with the Platform support team
Facilitate screen sharing meetings, slack channel conversations with
our internal stakeholders and customers
Review Support team JIRA tickets and proactively intimate the support leadership team for following up on the action items.
Assist in the development of tools/automation initiatives.
Manage Customer Support Cases on a daily basis and adhere to committed SLA's.

2023 Engineering Graduate in Computer Science Engineering or related branch
Experience in designing, building, testing, and maintaining Python/Java/Scala based applications.
Experience in designing, building, testing, and maintaining Python/Java/Scala based applications.
SQL-based database, Datawarehousing/ETL technologies like Informatica, DataStage, Oracle, Teradata, SQL Server, MySQL is preferred.
Demonstrated analytical and problem-solving skills, particularly those that apply to a “Distributed Big Data Computing” environment.
Hands-on experience with AWS or Azure is preferred
Excellent written and oral communication skills