Data engineer Manager

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.
• Strong 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 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.