Coforge
Create a free account
One signup unlocks everything for this job:
- Apply to this job and track your application
- See your personalized profile match score
- Generate an AI cover letter for this role
Noida · On-site · 4-7 Yrs · Aug 24
Information Technology Support Services · 10000+ Employees · Greater Noida, India
Coforge is a global digital services and solutions provider that leverages emerging technologies and deep domain expertise to deliver real-world business impact for its clients. A focus on select industries, a deep domain understanding of the underlying processes of those industries, and partnerships with leading technology platforms enable Coforge to be a trusted partner of its clients in their transformation initiatives. Coforge leads with its Product Engineering approach and leverages AI, Cloud, Data, Integration, and Automation technologies to transform businesses into intelligent, high-growth enterprises. Coforge has 30 global delivery centers and is present in 24 countries.
Hiring: Engineering
What employees say
+ I have been working at Coforge Gurgaon for the past 4 years, and overall it has been a great experience. The work environment is positive, and I have had good opportunities to lear
− Like any organization, there can be occasional challenges related to workload and project timelines. However, these are manageable with proper communication and support from the te
More reviews on the company profile.
Interview experience · Graduate Engineering Trainee GET
This was oncampus opportunity started with online assessment which had aptitude and one dsa questions which was easy.String based dsa questions was asked , next stage was face to face interview with recruiter it involved
Average difficulty · New Delhi · 1,064 reports
More interview insightsJob description
Overview
We are looking for talented Big Data professionals who are passionate about building scalable data platforms and high-performance data processing solutions on AWS.
Responsibilities
- Design and develop large-scale data processing solutions using Spark and Scala.
- Build robust ETL and data ingestion pipelines on AWS.
- Work with batch and streaming data processing frameworks.
- Optimize data workloads for performance, scalability, and reliability.
- Collaborate with cross-functional teams to deliver enterprise-grade data solutions.
Qualifications
- Spark
- Scala
- SQL
- AWS EMR
- AWS S3
- AWS Glue
- Hive
Nice to have
- Kinesis
- Lake Formation
- CloudFormation
- API Gateway
Verify SQL for this role
Free PRACTICE for SQL adds a verified skill signal that can boost how roles like this rank for you — optional, not required to browse or apply.
Sign up — verify SQL free →Want match scores and deeper insight? Create a free candidate profile