Job Description

We are seeking a skilled Senior Data Engineer Manager, Noida having 10+ yrsof experience.

About Us

CodeVyasa is a mid-sized product engineering company that works with top-tier product and solutions organizations such as McKinsey, Walmart, RazorPay, Swiggy, and others. We are a team of 550+ engineers, driving innovation across Product & Data Engineering, focusing on Agentic AI, RPA, Full Stack, and GenAI-based solutions.

Key Responsibilities

Lead and mentor a team of data engineers and drive end-to-end data engineering projects.
Design and build scalable, high-performance data platforms and pipelines.
Provide strong hands-on technical expertise in Apache Pinot for real-time analytics and low-latency data workloads.
Develop robust data processing and engineering solutions using Python.
Architect and manage data solutions leveraging the AWS ecosystem.
Define engineering best practices around data architecture, performance, scalability, reliability, and security.
Work closely with product, analytics, and business teams to translate requirements into scalable technical solutions.
Drive data platform optimization, performance tuning, monitoring, and troubleshooting.
Conduct technical reviews and ensure high-quality, maintainable code and architecture.
Manage project delivery, technical roadmaps, priorities, and engineering resources.
Evaluate new technologies and drive improvements in the data engineering ecosystem.

Must-Have Skills

10+ years of experience in Data Engineering
Strong hands-on experience with Apache Pinot
Strong programming skills in Python
Extensive experience with the AWS ecosystem
Experience designing and implementing large-scale data pipelines and data platforms
Strong understanding of real-time / streaming data processing
Experience with data architecture, scalability, performance optimization, and distributed systems
Proven experience in technical leadership and team management
Strong communication, stakeholder management, and problem-solving skills

Good-to-Have Skills

Experience with Kafka / Kinesis or other streaming technologies
Experience with Spark / Flink
AWS services such as S3, EC2, EMR, Glue, Lambda, Redshift, Kinesis, MSK, and EKS
Experience with Docker/Kubernetes
CI/CD and infrastructure automation
Experience working with high-volume, low-latency analytics platforms

Why Join CodeVyasa

Work on innovative, high-impact projects with leading global clients.
Exposure to modern technologies, scalable systems, and cloud-native architectures.
Continuous learning and upskilling opportunities through internal and external programs.
Supportive and collaborative work culture with flexible policies.
Competitive salary and comprehensive benefits package.
Free healthcare coverage for employees and dependents.