Support Solutions Engineer, Data Platform, Big Data / Analytics
Job Description:
• Monitoring and handling customers’ requests
• Troubleshooting and solving issues
• Automating support needs
• Developing support documentation and runbooks
• Improving and maintaining support tools and automation
• Understanding product offerings
• Continuously looking for ways to improve the engineering support experience
• Advocating for customers, following through on issues and resolving them in a reasonable time
• Providing insights and feedback to improve tools
Requirements:
• A minimum of 5 years of professional support or engineering experience, particularly in Big data technologies including and not limited to Spark, Trino, Druid, Iceberg, Hadoop framework, Kafka and Flink.
• Prior experience supporting platforms built using open source technologies such as Apache Kafka, Spark, and Hadoop.
• Worked with big data warehouse storage systems (e.g. Iceberg)
• At least 1 year of experience in providing technical support for Kafka clusters or other pub/sub systems like Google Cloud Pub/Sub, RabbitMQ, etc.
• Ability to read and write SQL queries to pull required complex data to support any reported issues/product defects
• Prior Experience with cloud infrastructure and/or container orchestration platform
• Desire and aptitude to learn how the pieces of the big data platform work together.
• Ability to adapt to new tools and technologies quickly, and a willingness to continuously learn and grow in the field of big data and data movement.
• Data-driven and evidence-based decision-maker.
• Proficient in at least one programming language, ideally Python and/or Java, enabling you to contribute to codebases across related domains.
• Experience in developing tools and scripts to automate processes and improve efficiency, with a strong focus on continuous improvement.
• Demonstrated ability to provide superior customer support across a complex organization, with a focus on enhancing the customer experience.
• Excellent written and verbal communication skills, with an appreciation for the importance of comprehensive documentation.
• Strong collaboration skills and experience working with cross-functional teams.
• Passion for creating technical documentation and tutorials, with a deep understanding of what makes an effective knowledge base.
• Strong problem-solving skills and the ability to troubleshoot complex issues in a dynamic environment.
• Knack for providing proactive feedback during early development stages of a product offering based on subject matter expertise and user sentiment.
Benefits:
• Health Plans
• Mental Health support
• 401(k) Retirement Plan with employer match
• Stock Option Program
• Disability Programs
• Health Savings and Flexible Spending Accounts
• Family-forming benefits
• Life and Serious Injury Benefits
• Paid leave of absence programs
• Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off
• Full-time salaried employees are immediately entitled to flexible time off
Apply Now
Apply Now
• Monitoring and handling customers’ requests
• Troubleshooting and solving issues
• Automating support needs
• Developing support documentation and runbooks
• Improving and maintaining support tools and automation
• Understanding product offerings
• Continuously looking for ways to improve the engineering support experience
• Advocating for customers, following through on issues and resolving them in a reasonable time
• Providing insights and feedback to improve tools
Requirements:
• A minimum of 5 years of professional support or engineering experience, particularly in Big data technologies including and not limited to Spark, Trino, Druid, Iceberg, Hadoop framework, Kafka and Flink.
• Prior experience supporting platforms built using open source technologies such as Apache Kafka, Spark, and Hadoop.
• Worked with big data warehouse storage systems (e.g. Iceberg)
• At least 1 year of experience in providing technical support for Kafka clusters or other pub/sub systems like Google Cloud Pub/Sub, RabbitMQ, etc.
• Ability to read and write SQL queries to pull required complex data to support any reported issues/product defects
• Prior Experience with cloud infrastructure and/or container orchestration platform
• Desire and aptitude to learn how the pieces of the big data platform work together.
• Ability to adapt to new tools and technologies quickly, and a willingness to continuously learn and grow in the field of big data and data movement.
• Data-driven and evidence-based decision-maker.
• Proficient in at least one programming language, ideally Python and/or Java, enabling you to contribute to codebases across related domains.
• Experience in developing tools and scripts to automate processes and improve efficiency, with a strong focus on continuous improvement.
• Demonstrated ability to provide superior customer support across a complex organization, with a focus on enhancing the customer experience.
• Excellent written and verbal communication skills, with an appreciation for the importance of comprehensive documentation.
• Strong collaboration skills and experience working with cross-functional teams.
• Passion for creating technical documentation and tutorials, with a deep understanding of what makes an effective knowledge base.
• Strong problem-solving skills and the ability to troubleshoot complex issues in a dynamic environment.
• Knack for providing proactive feedback during early development stages of a product offering based on subject matter expertise and user sentiment.
Benefits:
• Health Plans
• Mental Health support
• 401(k) Retirement Plan with employer match
• Stock Option Program
• Disability Programs
• Health Savings and Flexible Spending Accounts
• Family-forming benefits
• Life and Serious Injury Benefits
• Paid leave of absence programs
• Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off
• Full-time salaried employees are immediately entitled to flexible time off
Apply Now
Apply Now