Data Engineer

We're looking for an entrepreneurial, passionate, and driven Data Driven to join Startup Gala Intelligence backed by Navneet Tech Venture.. As we're building our technology platform from scratch, you'll have the unique opportunity to shape our technology vision, architecture, and engineering culture right from the ground up. You'll directly contribute to foundational development and establish best practices, while eventually building and contributing to our engineering team.

This role is ideal for someone eager to own the entire tech stack, who thrives on early-stage challenges, and loves building innovative, scalable solutions from day zero.

What you'll do:

• Data Pipeline Development - Build scalable, resilient pipelines for collecting, transforming, and loading large datasets from web, APIs, and internal systems.
  • Multi-Source Data Integration - Ingest data from diverse structured, semi-structured, and unstructured sources (web scraping, open datasets, APIs, third-party feeds).
    • Data Storage & Modeling - Design and maintain efficient schemas across NoSQL (e.g., MongoDB, DynamoDB) and graph databases (e.g., Neo4j) to handle identity relationships at scale.
      • Data Quality & Trust Scoring - Develop processes to deduplicate, validate, and assign confidence scores to identity data.
        • Data Enrichment - Build enrichment workflows to merge identity records from multiple sources into a unified view.
          • Orchestration & Automation - Implement workflow orchestration using tools like Airflow, Dagster, or Prefect for scheduling, monitoring, and scaling data pipelines.
            • Performance Optimization - Optimize ETL/ELT processes for speed, scalability, and cost efficiency.
              • Collaboration - Work closely with backend engineers, AI/ML teams, and product managers to deliver data solutions aligned with product goals.

Who you are:

Technical Requirements:

• 3+ years in data engineering or backend engineering with a strong focus on data pipelines.
• Hands-on experience with ETL/ELT frameworks and orchestration tools (Airflow, Prefect, Dagster).
• Proficiency in Python or another data-friendly language.
• Experience with NoSQL databases (MongoDB, DynamoDB) and graph databases (Neo4j).
• Strong understanding of web scraping frameworks and data ingestion APIs.
• Familiarity with cloud data infrastructure (AWS, GCP, or Azure).
• Experience in handling large datasets, data normalization, and data quality processes.

Bonus Points:

• Problem Solver - You thrive in ambiguous situations and can design solutions from scratch.
• Attention to Detail - Data integrity is non-negotiable for you.
• Collaborative - You work well with cross-functional teams and communicate clearly.
• Startup Mindset - You're comfortable moving fast, iterating often, and wearing multiple hats.

Who We Are & Our Culture:

Gala Intelligence, backed by Navneet Tech Ventures, is a tech-driven startup dedicated to solving one of the most pressing business challenges - fraud detection and prevention. We're building cutting-edge, real-time products designed to empower consumers and businesses to stay ahead of fraudsters, leveraging innovative technology and deep domain expertise..

Our culture and values:

We're united by a single, critical mission - stopping fraud before it impacts businesses. Curiosity, innovation, and proactive action define our approach. We value transparency, collaboration, and individual ownership, creating an environment where talented people can do their best work.

• Problem-Driven Innovation: We're deeply committed to solving real challenges that genuinely matter for our customers.
• Rapid Action & Ownership: We encourage autonomy and accountability—own your projects, move quickly, and shape the future of Gala Intelligence.
• Collaborative Excellence: Cross-team collaboration ensures alignment, sparks innovation, and drives us forward together.
• Continuous Learning: Fraud evolves rapidly, and so do we. Continuous improvement, experimentation, and learning are core to our success.

If you're excited by the opportunity to leverage technology in the fight against fraud, and you're ready to build something impactful from day one, we want to hear from you