Data Engineering Manager

About Us

Fynite Corp is a cutting-edge AI/ML company revolutionizing industries with dynamic pricing and risk management solutions. We are seeking a highly skilled Engineering Manager to lead a team of talented full-stack engineers in designing and delivering robust data pipelines, enabling advanced analytics and operational efficiency.

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Role Overview

As an Engineering Manager, you will oversee a team of full-stack engineers responsible for building and maintaining data pipelines, while ensuring seamless integration with front-end and back-end systems. This role requires strong technical expertise in ReactJS, Django, and data warehouses. You will play a critical role in aligning technical execution with business goals, mentoring team members, and driving the successful delivery of complex engineering projects.

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Responsibilities

• Lead, mentor, and manage a team of full-stack engineers to deliver high-quality, scalable, and efficient data pipelines.
• Collaborate with product managers, data scientists, and other stakeholders to define project requirements and technical priorities.
• Architect and oversee the development of front-end systems using ReactJS and back-end systems with Django.
• Design, implement, and maintain ETL processes and data pipelines integrated with data warehouses (e.g., Snowflake, BigQuery, Redshift).
• Ensure best practices in software development, including code reviews, testing, CI/CD, and security.
• Identify and address technical challenges, bottlenecks, and risks to ensure timely delivery of projects.
• Foster a collaborative, inclusive, and innovative engineering culture.‍

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Qualifications

Must-Have:

• Proven experience as an Engineering Manager, Tech Lead, or similar role managing full-stack engineering teams.
• Strong hands-on expertise in ReactJS and Django.
• Experience designing and delivering data pipelines and working with data warehouses (e.g., Snowflake, BigQuery, Redshift).
• Solid understanding of front-end and back-end development principles, data modeling, and API design.
• Knowledge of ETL tools, frameworks, and data processing techniques.
• Excellent leadership, communication, and project management skills.

Preferred:

• Prior experience in AI/ML, SaaS, or data-driven product development.
• Familiarity with cloud platforms (AWS, GCP, or Azure) and their data-related services.
• Understanding of DevOps practices and CI/CD pipelines.

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Why Join Us?

• Be part of a dynamic, innovative team pushing the boundaries of AI and data solutions.
• Work on challenging projects that have a tangible impact on businesses and industries.
• Opportunities for career growth and professional development.
• Flexible work environment with a strong emphasis on work-life balance.

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How to Apply

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