Tier2 Technical Support Engineer (Data Path)

Revuze is a startup with a mission to revolutionize the way in which market research is being conducted by collecting millions of consumer reviews from the top Retailers and turning them into actionable insights at a click. The most world renowned brands in the electronics, cosmetics, apparel, hygiene and food industry, are currently using Revuze to improve their competitive positioning and product development/innovation road map.

We are seeking a dedicated Technical Support Specialist with a focus on Big Data and Data Engineering to join our team. In this role, you will be responsible for troubleshooting and resolving technical issues.

You will play a pivotal role in establishing and managing support know-how, enhancing issue-resolution capabilities, and ensuring customer problem-solving within this specialized domain. you will collaborate with R&D functions as well as non-R&D functions. Additionally, you will contribute to the improvement of service level agreements (SLAs) and other quality KPIs.

What You'll Do

• Troubleshoot and fix technical issues on complex systems with a wide range of strategies and tools
• Establish, manage, and lead support know-how, issue-resolution capabilities, and customer problem solving
• Collaborate closely with the relevant R&D teams such as Data Scientist, Data Engineers, QA, and Product Team
• Track, follow, and improve Data Pipelines, Flows etc.

Who You Are

• Experience in a technological position in the army or a degree in Computer Science / Engineering / Information Systems or similar areas
• Experience with troubleshooting and identifying the root cause of problems. Experience working with Python
• Experience with PySpark/Pandas – A big advantage
• Experience with AWS platform – S3, OpenSearch
• Excellent communication skills in English and Hebrew (verbal and written)
• Highly service-oriented and emphatic - A Must
• A fast learner, able to learn and understand complex workflows quickly
• Passion for data and Data Science, Data Engineering, BigData workflows, Independent, and being a team player