Data Engineer

Innodata Inc.; Junagadh; On-site; INR 8,604,000 - 12,428,000; Full time

Job summary

Innodata Inc. seeks a GCP Data Engineer with 5–8 years of experience to design and build data warehouses, data lakes, and pipelines that power data-driven decisions for data center supply chain and real estate operations.

You will create scalable ETL infrastructure on Google Cloud, enabling AI/ML use cases like RAG, copilots, and agentic AI for predictive analytics and workflow automation. This is a remote role.

Qualifications

• Experience with GCP services like BigQuery, Dataflow, Pub/Sub, Cloud Storage, and Looker/BI.
• Proficient in SQL and Python for ETL/ELT development.
• Experience building pipelines for ERP, procurement, logistics, and facility systems.
• Familiar with data warehouses and data lake architectures.
• Experience with AI/ML data pipelines (RAG, embeddings, copilots).

Responsibilities

• Design and implement data-driven solutions on GCP including BigQuery, Dataflow, Pub/Sub, and Looker/BI.
• Build ETL scripts using SQL and Python to extract, clean, and transform data from ERP, procurement, logistics, and facility systems.
• Develop and optimize data pipelines for ingestion, transformation, and loading into data lakes and warehouses.
• Extend end-to-end data and BI solutions across extraction, storage, transformation, and visualization layers.
• Collaborate with supply chain, real estate, and AI/ML teams to provide pipelines for AI use cases (RAG, Copilot, multi-agent workflows).
• Ensure data governance, lineage, and compliance across datasets.

Skills

GCP BigQuery

Dataflow

SQL

Python

Looker/BI

ETL Pipelines

Data Governance

AI/ML Pipelines

Data Lake

Data Warehouse

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).