Data Engineer

Innodata Inc.; Tirupati; On-site; INR 1,800,000 - 3,500,000; Full time

Job summary

Innodata Inc. in India seeks a GCP Data Engineer to design and build scalable data warehouses, data lakes, and pipelines on Google Cloud Platform to power data-driven decisions for supply chain and real estate operations.

This role focuses on secure, optimized ETL infrastructure and enabling AI/ML use cases such as RAG and copilots. You will work with BigQuery, Dataflow, Pub/Sub, Cloud Storage, and Looker to deliver end‑to‑end data solutions, govern data lineage, and improve query performance in

Qualifications

• Experience with GCP data services (BigQuery, Dataflow, Pub/Sub, Cloud Storage).
• Strong SQL and Python for data engineering and scripting.
• Experience building ETL/ELT pipelines across ERP, procurement, or logistics data.
• Familiarity with data lake and data warehouse architectures.
• Exposure to AI/ML data pipelines (vector embeddings, RAG) is a plus.

Responsibilities

• Design and implement data-driven solutions on GCP including BigQuery, Cloud Storage, Dataflow, Pub/Sub, and Looker/BI.
• Build ETL scripts using SQL and Python to extract, clean, and transform structured and unstructured data from ERP, procurement, logistics, and facility management systems.
• Develop and optimize data pipelines for ingestion, transformation, and loading into enterprise data lakes and warehouses.
• Build and extend end-to-end data and BI solutions, spanning extraction, storage, transformation, and visualization layers.
• Partner with supply chain, real estate, and AI/ML teams to provide pipelines for AI solutions (e.g., RAG ingestion, Copilot integration, multi-agent workflows).
• Ensure data governance, lineage, and compliance across supply chain datasets.
• Continuously optimize query performance, ETL processes, and pipeline reliability.

Skills

GCP BigQuery

Dataflow

Pub/Sub

Python

SQL

Looker/BI

Data lakes/warehouses

ETL/ELT pipelines

Tools

Looker

Job description

Experience: 5-8 years

Work Mode: Remote

About Role :

We are seeking a GCP Data Engineer to design and build enterprise data warehouses, data lakes, and pipelines that power data-driven decision-making for data center supply chain and real estate operations. This role is responsible for creating scalable, secure, and optimized ETL infrastructure on Google Cloud Platform (GCP), while enabling advanced AI/ML use cases such as RAG, copilots, and agentic AI for predictive analytics and workflow automation.

Responsibilities:

• Design and implement data-driven solutions on GCP including BigQuery, Cloud Storage, Dataflow, Pub/Sub, and Looker/BI.
• Build ETL scripts using SQL and Python to extract, clean, and transform structured and unstructured data from ERP, procurement, logistics, and facility management systems.
• Develop and optimize data pipelines for ingestion, transformation, and loading into enterprise data lakes and warehouses.
• Build and extend end-to-end data and BI solutions, spanning extraction, storage, transformation, and visualization layers.
• Partner with supply chain, real estate, and AI/ML teams to provide pipelines for AI solutions (e.g., RAG ingestion, Copilot integration, multi-agent workflows).
• Ensure data governance, lineage, and compliance across supply chain datasets.
• Continuously optimize query performance, ETL processes, and pipeline reliability.

Skills Required:

• Strong hands-on expertise with GCP services: BigQuery, Dataflow, Pub/Sub, Cloud Storage, Looker/BI (or similar).
• Advanced proficiency in SQL (complex queries, optimization) and Python (data engineering, scripting, APIs).
• Experience building ETL/ELT pipelines operating on structured and unstructured data sources.
• Knowledge of enterprise data warehouse and data lake architectures.
• Exposure to data pipelines for AI/ML (vector DB ingestion, embeddings, RAG pipelines, copilots, agents).