Job DescriptionIntroduction

NWe 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.

NLocation: Remote

NAbout the role:

NThe Senior 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 by translating the needs of machine-learning and computer-vision workflows into reliable, well-modelled, and cost-effective data foundations.

NTasks include setting up new 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.

NMain Responsibilities

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- 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.
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- Robust experience in Data Architecture.
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- Strong knowledge of Gitrepositories.
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- Develop and orchestratescalable data pipelines on Databricks (Spark, Delta Lake) and load curated,



analytics-ready data into Snowflake.
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- 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.
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- Dock machine-learning and computer-vision models into the data pipelines and design the data flow that feeds and consumes those AI services.
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- 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.
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- Strong API knowledge and experience.
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- Build and maintain API integrations and automated data ingestion from internal systems and external third-party sources.
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- Monitor pipeline performance, reliability, and cost;

troubleshoot failed jobs and optimize Snowflake and Databricks workloads.

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- Implement data quality,validation, and lineage, and document the data dictionary and ETL processes.
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- Partner with AI Engineers and stakeholders to translate model and business requirements into extensions of the data platform.
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nSkills, Qualifications & Education

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- Bachelor's degreein Computer Science,



Data Engineering, or a related field.
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- At least 4 years of work experience in data engineering or a similar data-focused role.
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- Hands-on production experience with Databricks (Apache Spark, Delta Lake, notebooks, workflows).
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- Hands-on production experience with Snowflake (data modelling, performance tuning, access control, cost management).
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- Solid experience with Microsoft Azure data services (e.G. ADLS, Data Factory, Event Hubs / Synapse).
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- Experience with PostgreSQL and OLTP databases;

familiarity with Lakebase (Databricks-managed Postgres) is a strong plus.

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- Working knowledge of JavaScript / TypeScript, used for data APIs, microservices, or app-facing integrations.
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- Strong expertise in SQL(will be tested during the recruitment process).
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- Robust Python literacy,especially for data handling and pipeline development.
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- Comfortable working with both structured and unstructured data;

does not shy away from troubleshooting failed ETL processes or API integrations.

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- Outstanding data-structure and data-modelling design skills.
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- Working knowledge of machine-learning, NLP, or computer-vision workflows is a plus.
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- Experience with dbt, Airflow, or Databricks Workflows, and with CI/CD and infrastructure-as-code, is a plus.
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- Strong ability to translate ideas between technical and non-technical audiences.
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- Curious, collaborative,self-motivated, and organized;

able to run multiple projects against tight deadlines.

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nLocation: Remote

📌 Hiring: Senior Data Engineer (Kolkata)
🏢 Entiovi Technologies
📍 Kolkata