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Senior Data Engineer Manager

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Onsite

Senior Data Engineer Manager

MNC

Senior Data Engineer Manager

Skills

Data EngineeringDockerPythonKafkaData AnalysisAWSKubernetes

1 month ago

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Important information


Contract type:

Permanent

Location:

Noida, Uttar Pradesh, India

Work mode:

Onsite

Published on:

19 September 2026

What they need


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.

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