Data Engineer

Job Description

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).

• Familiarity with supply chain or data center operations data is a strong plus.

Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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