Live opening · Posted 9 days ago
Senior Data Engineer Manager
MNC · Noida, Uttar Pradesh, India (On-site)
You are 9 days behind. JobBeeper subscribers saw this role while it was still new.
At a glance
The key details from the original listing.
CompanyMNC
LocationNoida, Uttar Pradesh, India (On-site)
Work modeNo
Source
Linkedin
Listed9 days ago
Your early-applicant advantage
Live timing from JobBeeper.
4 min
from Linkedin publishing this role to us finding it
15 min
median time from a role going live to a subscriber being told
6 hours
subscribers had this role before this page existed
60,892
roles found in the last 24 hours — the newest are not on this site yet
About the role
Description supplied by the original job listing.
Job Description
We are seeking a skilled Senior Data Engineer Manager, Noida having 10+ yrs of 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.
Work arrangement
No
More openings worth a look
Recently tracked roles with full details and direct application links.
Good roles move before most people even see them.
Tell JobBeeper what you want and get fresh matches delivered in minutes.
Start your free trial →