Data Engineer

Innodata Inc.; Ajit; On-site; INR 11,472,000 - 17,208,000; Full time

Job summary

Innodata Inc. is seeking a GCP Data Engineer to design and build data warehouses, data lakes, and pipelines powering data-driven decisions for enterprise operations. The role focuses on scalable, secure ETL on Google Cloud Platform and enabling AI/ML use cases.

You will work with BigQuery, Dataflow, Pub/Sub, and Looker, develop SQL/Python ETL scripts from ERP and procurement systems, and optimize pipelines while ensuring governance and compliance across datasets.

Qualifications

• Extensive experience with GCP services (BigQuery, Dataflow, Pub/Sub, Cloud Storage).
• Strong SQL and Python for ETL/ELT pipelines.
• Experience with data warehouses and data lakes architectures; data governance.

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 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 services expertise

SQL

Python

ETL/ELT pipelines

Data governance

Tools

BigQuery

Dataflow

Pub/Sub

Looker/BI

Cloud Storage

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).