Role- GCP Data Engineer

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 :
Solid 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).
Familiarity with supply chain or data center operations data is a solid plus.

📌 Gcp Data Engineer Noida (India)
🏢 Innodata India
📍 India