As a Sr. Technical Solutions Engineer, you will provide technical support for Spark Platform related issues and resolve any challenges involving the Databricks unified analytics platform. You will assist customers in their Databricks journey and provide them with the guidance, knowledge, and expertise that they need to accomplish value and achieve their strategic goals using our products. 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, Platform Solutions.

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 true sense of ownership 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
Be a team player and coach other team members
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.
Strong Linux/Unix administration skills.
A minimum of 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 written and oral communication skills.
Demonstrated analytical and problem-solving skills, particularly those that apply to a "Distributed Big Data Computing" environment.
Bachelor's degree in Computer Science or related field is required.

Benefits

Private medical insurance
Accident coverage
Employee's Provident Fund
Equity awards
Paid parental leave
Gym reimbursement
Annual personal development fund
Work headphones reimbursement
Business travel insurance
Mental wellness resources

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