They will look to you for answers to everything from basic technical questions to complex architectural scenarios spanning across the entire Big Data ecosystem. You will report to the Senior Manager of Technical Solutions. This role is hybrid.
The impact you will have:
- Troubleshoot and resolve complex customer issues related to Databricks platform
- Provide best practices support for custom-built solutions developed by Databricks customers
- Deliver suggestions for improving performance in customer-specific environments
- Assist with issues around third-party integrations with Databricks environment
- Demonstrate and coordinate with engineering and escalation teams to achieve resolution of customer issues and requests
- Participate in the creation and maintenance of company documentation and knowledge articles
- Be a true proponent of customer advocacy
- Strengthen your AWS/Azure and Databricks platform expertise through learning and internal training programs
- Participate in weekend and weekday on call rotation
What we look for:
- Minimum 5 years experience designing, building, testing, and maintaining Python/Java/Scala based applications. Expert level knowledge in python is desired .
- Solid experience with SQL-based database is required.
- Linux/Unix administration skills.
- Two year experience with Hadoop/Spark in either an administrative, development or support role is required.
- Hands-on experience with AWS or Azure.
- Candidate must possess excellent English written and oral communication skills.
- Experience with “Distributed Big Data Computing” environment.
- Technical degree or the equivalent experience.
Benefits
- Medical insurance reimbursement or collective healthcare scheme
- Accident and income protection insurance
- Pension Plan
- Enhanced Parental Leaves
- Equity awards
- Fitness reimbursement
- Annual career development fund
- Home office & work headphones reimbursement
- Business travel accident insurance
- Mental wellness resources
- Employee referral bonus