Description:

Lead Data Engineer – Data & AI, Supply Chain

About the Role

Tech is seeking an experienced Lead Data Engineer to join the Supply Chain Data & AI Organization. This role will support the design, development, and delivery of enterprise data products and analytics solutions across the Sourcing, Transportation, and Warehouse Management (WMS) domains.

The ideal candidate is a hands-on technical leader with deep expertise in building contemporary cloud-native data platforms on Google Cloud Platform (GCP). You will collaborate with Product Managers, Solution Architects, Data Architects, Business SMEs, and engineering teams to develop scalable, high-quality data solutions that enable advanced analytics, and AI-driven decision making.

Key Responsibilities
Design, develop, and implement scalable data pipelines and data products on Google Cloud Platform (GCP).
Build and optimize enterprise data solutions using Dataproc, BigQuery, SQL, and dbt.
Design robust and scalable data models that support analytical and operational reporting requirements.




Develop productive ETL/ELT pipelines to ingest, transform, and publish data from multiple enterprise systems.
Collaborate with Product Managers, Business Analysts, Enterprise Solution Architects, Data Architects, and business stakeholders to translate business requirements into scalable technical solutions.
Lead technical design discussions and perform code reviews to ensure engineering quality and adherence to standards.

Required Technical Skills
8+ years of experience in Data Engineering with demonstrated technical leadership on enterprise data projects.
Strong hands-on experience with Google Cloud Platform (GCP).
Expert-level proficiency in:

oDataproc

oBigQuery

oSQL

odbt (Data Build Tool)
Robust understanding of modern ETL/ELT architecture and large-scale data processing.
Robust knowledge of data modeling techniques, including dimensional modeling, normalized data models, and analytical data ware

📌 Data Engineer Bengaluru
🏢 LanceSoft
📍 Bengaluru