Job Description
We are seeking a skilled 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.

Must-Have Skills
• Strong hands-on experience with Apache Pinot and real-time/low-latency analytics.
• Strong experience with Apache Kafka and event-driven data pipelines.
• Extensive knowledge of the AWS ecosystem and cloud-based data platforms.
• Strong programming experience in Python for data engineering and automation.
• Hands-on experience with Amazon Redshift and data warehousing.
• Robust understanding of Data Architecture, Data Modeling, ETL/ELT, and scalable data pipelines.
• Experience designing high-volume, distributed, and real-time data processing systems.
• Strong understanding of data engineering best practices, performance optimization,



and data quality.
• Experience leading and mentoring data engineering teams.

Key Responsibilities
• Lead and manage data engineering teams and end-to-end data initiatives.
• Design and implement scalable data architecture for batch and real-time workloads.
• Build and optimize real-time data pipelines using Kafka and Apache Pinot.
• Develop and maintain cloud-based data solutions using the AWS ecosystem.
• Drive data warehousing solutions using Amazon Redshift.
• Use Python for data processing, automation, and engineering workflows.
• Define technical standards for data pipelines, architecture, performance, and reliability.
• Collaborate with product, engineering, and business teams to translate requirements into scalable data solutions.
• Mentor engineers and drive technical excellence across the data engineering function.

Why Join CodeVyasa?
• Work on innovative, high-impact projects w

📌 Data engineer Manager (Noida)
🏢 CodeVyasa
📍 Noida