About YAL
YAL is building AI-first products across voice, language, communication, discovery, and
intelligent user experiences. Our systems combine data, AI, NLP, speech, product engineering,
and real-time analytics to create scalable solutions for users and businesses.
Role Overview
We are looking for a hands-on, builder-mentality Data Engineer with 5–8 years of experience to
lead our zero-to-one data platform initiatives. This role focuses heavily on production
application data engineering—ensuring seamless, low-latency data flow between our live
transactional systems, analytical warehouses, and AI models. You will work across multiple data
domains, including product usage data, live user behavior, voice and text datasets, ML training
data, and real-time event streams.
Key Responsibilities
Architect 0-to-1 Systems: Design, build, and scale our foundational data infrastructure
and pipelines from scratch, making critical early-stage technology choices.
Production Data Engineering: Manage high-throughput production application data
streams.
Implement Change Data Capture (CDC) and ensure seamless, low-latency
synchronization between transactional databases (OLTP) and analytical systems
(OLAP).
AI/ML Data Infrastructure: Build robust data infrastructure to support AI/ML model
training, feature engineering, evaluation, experimentation, and production monitoring.
End-to-End Pipelines: Develop reliable ETL/ELT workflows for data ingestion,
transformation, validation, storage, and consumption across structured, semi-structured,
and unstructured data.
Real-Time & Batch Processing: Build systems for real-time event streaming and batch
data processing based on live product requirements.
Integration & Collaboration: Work with backend and platform teams to integrate data
pipelines with APIs, internal tools, dashboards, and live production services.
Data Governance & Quality: Establish the first principles of data quality, consistency,
observability,
📌 Senior Data Engineer (Kothaguda)
🏢 Yal
📍 Kothaguda