Introduction:

We at Entiovi Technologies provide digital transformation using new-age intelligent technologies for more than 9 years. We have clients located primarily in the US and Europe that are served by our Dedicated teams. This job is part of our expansion in India.

Location: Remote

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-ca

📌 Data Engineer (Kolkata)
🏢 Entiovi Technologies Private
📍 Kolkata