Job description:
Databricks is conducting an interview for the post of Technical Solution Analyst.
Job duties and responsibilities:
As a Technical Solutions Analyst, you will provide technical support for Spark/Platform related issues and resolve any challenges involving the Databricks unified analytics platform. You will assist our customers in their Databricks journey and provide them with the guidance, knowledge, and expertise that they need to realize value and achieve their strategic objectives using our products.
The impact you will have (being a part of Platform Team):
- 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.
What Databricks look for (Platform Team):
- 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.
The impact you will have (being a part of Spark Team):
- 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.
What Databricks look for (Spark Team):
- 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
About Databricks:
Databricks is the lakehouse company. More than 7,000 organizations worldwide — including Comcast, Condé Nast, H&M and over 50% of the Fortune 500 — rely on the Databricks Lakehouse Platform to unify their data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe. Founded by the original creators of Apache Spark™, Delta Lake and MLflow.
Job/Req. ID: 6427073002
Company: Databricks
Location: Bangalore, KA
Job Category: Software/IT Engineering
Join all India Software Jobs Telegram Group
Join all India Software Jobs WhatsApp Group
