About the role
The Data Engineer in our AI & Data team will be responsible for designing and building the data
structures and pipelines our AI Engineers rely on across Azure, Snowflake, Databricks, and
Lakebase (our managed Postgres / OLTP layer). The primary mission of this role is to enable the AI
Engineering team- translating the needs of machine-learning and computer-vision workflows into
reliable, well-modelled, and cost-effective data foundations.
Tasks include setting up recent data pipelines and transformations, ingesting structured and
unstructured data into the data lake and warehouse, monitoring the performance and cost
effectiveness of existing data jobs, and docking machine-learning processes into the existing data
landscape. The Data Engineer works hand in hand with AI Engineers and is the go-to person for
making trusted data available for models, products, and analytics.
Main Responsibilities
● As part of the AI & Data team, design and build the data structures, schemas, and models
that AI Engineers depend on for training, feature engineering, and inference.




● Develop and orchestrate scalable data pipelines on Databricks (Spark, Delta Lake) and load
curated, analytics-ready data into Snowflake.
● Own data ingestion, transformation (ELT/ETL), and storage across the Azure cloud (e.g.
ADLS, Data Factory, Event Hubs/Synapse), including structured, semi-structured, and
unstructured data such as text, images, and video.
● Dock machine-learning and computer-vision models into the data pipelines, and design the
data flow that feeds and consumes those AI services.
● Sync curated lakehouse data into Lakebase (managed Postgres) for low-latency serving,
manage change-data-capture back into Delta tables, and support online feature stores and
agent state for AI Engineers.
● Build and maintain API integrations and automated data ingestion from internal systems
and external third-party sources.
● Monitor pipeline performance, reliability, and cost; troubleshoot failed j

📌 Data Engineer (India)
🏢 Entiovi Technologies
📍 India