Requirements:

• Master's in Data Science/Statistics
• Python, R, SQL proficiency
• Machine Learning expertise
• Experience with cloud platforms

Hiring Process:

1. Initial Application Review (2-3 days)
2. Technical Assessment (1 week)
3. Virtual Interview Round 1 (HR + Technical)
4. Virtual Interview Round 2 (Leadership Team)
5. Final Decision & Offer (3-5 days)

Requirements:

• Bachelor's in Business/Analytics
• Tableau, Power BI expertise
• Strong SQL skills
• Business domain knowledge

Hiring Process:

1. Application Screening (2-3 days)
2. Portfolio Review & Case Study
3. Technical Interview (Analytics Tools)
4. Business Scenario Discussion
5. Cultural Fit Interview & Offer

Requirements:

• Computer Science degree
• Python, Scala, Java proficiency
• Apache Spark, Kafka experience
• Cloud platforms (AWS/Azure/GCP)

Hiring Process:

1. Resume & Portfolio Review (2-3 days)
2. Coding Challenge (Data Engineering)
3. System Design Interview
4. Technical Deep Dive Session
5. Team Interaction & Final Decision

Requirements:

• Computer Science/IT degree
• JavaScript, React, Node.js
• HTML, CSS, Bootstrap
• Database knowledge (MySQL/MongoDB)

Hiring Process:

1. Application & Academic Review (2-3 days)
2. Online Coding Test
3. Technical Interview (Programming)
4. Project Discussion & Live Coding
5. HR Round & Onboarding