Support Solutions Engineer, Data Platform, Big Data / Analytics
Netflix
full-time
Posted on:
Location Type: Remote
Location: United States
Visit company websiteExplore more
About the role
- 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
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Big data technologiesSparkTrinoDruidIcebergHadoopKafkaFlinkSQLPython
Soft Skills
customer supportproblem-solvingcommunicationcollaborationcontinuous improvementadaptabilityevidence-based decision-makingtechnical documentationfeedback provisiontroubleshooting