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 e-tailers 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 domain to join our team. In this role, you will be responsible for troubleshooting and resolving technical issues on complex systems.

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 closely with cross-functional R&D teams, including data scientists, data engineers, quality assurance experts, and product teams. Additionally, you will contribute to the improvement of service level agreements (SLAs) and key performance indicators (KPIs) to measure our team's success in the big data and data engineering arena.

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
• Experienced with troubleshooting and providing support in oriented Data Systems and AI
• 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 DS, DE, BigData workflows, independence, and being a team player