Fullstack Engineer

Tecnoprism; Mumbai; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

Tecnoprism in Mumbai seeks a Real-Time Data & NoSQL Engineer to build and optimize Kafka-based event-driven platforms, Redis caching, and MongoDB schemas for real-time workloads. You will implement scalable data pipelines, tune databases, and ensure low latency across streaming services.

Proficiency in Confluent Kafka, Kafka Streams, and Redis is essential for success. This role is office-based with standard hours 9:00 AM to 6:00 PM, located at multiple client sites in the Mumbai area, including

Qualifications

• Experience with real-time data platforms and NoSQL databases.
• Hands-on design and tuning of Kafka-based event-driven systems.
• Strong understanding of Redis caching architectures and MongoDB performance.

Responsibilities

• Design and implement Kafka-based event-driven systems.
• Optimize Redis caching architecture and performance.
• Design MongoDB schemas and perform performance tuning.
• Develop real-time data platform components.
• Troubleshoot consumer lag, cache bottlenecks, and DB performance issues.

Skills

Apache Kafka

Confluent Kafka

Redis

MongoDB

Event Streaming

Real-Time Data Processing

Kafka Streams

Kafka Connect

NoSQL Databases

Performance Tuning

Tools

Redis Cluster

Redis Sentinel

MongoDB Sharding

MongoDB Replica Sets

Distributed Caching

Streaming Data Platforms

Job description

Requirement 2: Real-Time Data & NoSQL Engineer

Experience

• 3-5 Years

Open Positions

• Analyst/Consultant: 3

Primary Skills

• Apache Kafka
• Confluent Kafka
• Redis
• MongoDB
• Event Streaming
• Real-Time Data Processing
• Kafka Streams
• Kafka Connect
• NoSQL Databases
• Performance Tuning

Preferred Skills

• Redis Cluster
• Redis Sentinel
• MongoDB Sharding
• MongoDB Replica Sets
• Distributed Caching
• Streaming Data Platforms

Key Responsibilities

• Design and implementation of Kafka-based event-driven systems
• Redis caching architecture and optimization
• MongoDB schema design and performance tuning
• Real-time data platform development
• Troubleshooting consumer lag, cache bottlenecks, and database performance issues

Work Location (Applicable for Both Requirements)

Candidates should be comfortable working from any of the following client locations:

• BKC
• Malad
• Turbhe

Work Conditions

• 100% Work From Office
• Working Hours: 9:00 AM 6:00 PM
• Alternate Saturdays working as per the banking calendar
• Face to Face interview in L2.