Quick Overview
Job Description
Hello Everyone,
Hope you are doing good!!!!
My name is Pavan and I work with SPAR Information System., I have a great opportunity for you, please find the job details below, if you are interested in applying please send me your updated resume and best time for you to discuss about this opportunity in details.
Role: Senior Full Stack Engineer (Audience Builder & CDP)
Location: Remote
Duration: Long term contract
Based on the JD, the strongest candidates are those who combine:
- React/TypeScript
- Databricks/Delta Lake
- Kafka/Event Hubs
- Audience Builder/CDP experience
- AI-assisted segmentation exposure
Biggest Hiring Risks
Candidates may have: React . Node.js.APIs
But lack: Audience segmentation .Databricks,Delta Lake,Kafka,CDP knowledge
These candidates may look technically strong but require significant ramp-up
A great candidate typically comes from one of these backgrounds
| Option 1 | CDP / MarTech Examples:
|
| Option 2 | Customer Analytics Platforms Examples:
|
| Option 3 | Full Stack + Data Engineering Experience with:
|
| Critical Skills (Must Have) 1. React + TypeScript + Next.js Why? Because the Audience Builder UI itself is complex. Examples:
Candidates should have built complex business applications, not just websites. 2. API Design The engineer will create APIs for:
Look for:
3. Databricks / Delta Lake This is one of the biggest differentiators. Many React engineers won't have this experience. Discussion point: Audience calculations may run against hundreds of millions of customer records. Databricks is likely the primary audience computation platform. Good candidates should understand:
4. ClickHouse Used for:
Meeting talking point: Databricks computes the audience, ClickHouse serves low-latency previews and analytics. 5. Kafka / Event Hubs Role requires event-driven thinking. Examples: Customer actions generate events: Plain Text Purchase Login Page View Cart Abandonment These events update audience membership in near real time. Good candidates should understand:
6. Redis Likely used for:
Not usually a primary screening area but useful. AI Component This separates the role from a traditional CDP role. The JD specifically says: Build AI-assisted segmentation and customer preview experiences Examples: User types: |
Thanks & Regards,
Pavan Raikhelkar
LEAD TALENT ACQUISITION SPECIALIST
Direct Number:-
Fax :
Email:
Website:
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