Last date
25/06/2026
Openings
1 or more
Qualification
Big Data Engineer;Apache Sp...
Post
Full Time
Overview
Job descriptionWe're Nagarro.We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale across all devices and digital mediums, and our people exist ev...
- Company
- Powered by Monster
- Location
- Ganganagar; Rajasthan; Uttar Pradesh
- Salary
- 450000 - 800000 (per annum)
- Skill Required
- Big Data Engineer;Apache Spark development
- Duration
- Not specified
- Posted On
- 27/4/2026
- Company Client
- (On behalf of Nagarro)
- External Apply URL
- True
Detail Fields
Sector: Other Service Activities Functional Area: Human Resources Functional Role: Fresher Total Experience In Years: 3 - 5 Nature Of Job: Full Time Gender Preferences: Any Ex Servicemen Preferred: No
Eligibility
Criteria Education: Job Requirement as per Employer posting Label Criteria Skill: Job Requirement as per Employer posting Criteria Experience: Job Requirement as per Employer posting Criteria Location: Job Requirement as per Employer posting Yes: No
Full Detail Text
Company Name: Powered by Monster (On behalf of Nagarro) Click here for more details Job Title Senior Engineer, Big Data Engineer Organisation Type Sector Other Service Activities Functional Area Human Resources Functional Role Fresher Job Description Job descriptionWe're Nagarro.We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale across all devices and digital mediums, and our people exist everywhere in the world (18000+ experts across 38 countries, to be exact). Our work culture is dynamic and non-hierarchical. We're looking for great new colleagues. That's where you come in!REQUIREMENTS:Total experience 3+ years.Excellent knowledge and experience in Big data engineer. Strong hands-on experience with PySpark and Apache Spark development.Proficiency in Python for data processing and automation.Expertise in SQL for querying, transformation, and performance tuning.Hands-on experience with Databricks or similar cloud-based big data platforms.Pr
