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Summary of the role:
We are seeking a skilled Data Engineer to design, build, and deliver scalable data and analytics solutions on Google Cloud Platform (GCP) across the Finance, Inventory Management, and Planning domains.
In this role, you will develop and optimize end-to-end data pipelines using BigQuery, dbt, Cloud Composer (Airflow), Python, and SQL, transforming large and complex datasets into reliable, business-ready insights. You will leverage Vertex AI to enable advanced analytics and AI-driven capabilities while ensuring high standards of data quality, availability, performance, and governance.
You will also be responsible for producing clear technical documentation, implementing best practices,



and collaborating closely with cross-functional teams to support data-driven decision-making and enterprise transformation initiatives.

About the role:
- Design, build, and deliver high-quality data products and scalable analytics solutions on Google Cloud Platform (GCP).
- Develop and maintain robust, high-performance data pipelines and transformation frameworks using BigQuery, dbt, Python, and SQL.
- Orchestrate and automate end-to-end data workflows using Cloud Composer (Airflow), ensuring effective scheduling, monitoring, and dependency management.
- Partner with business stakeholders to understand requirements, define data strategies, and deliver analytics-ready solutions aligned with business objectives.
- Design and optimize data models, transformations, and data marts in BigQuery to enable self-service analytics and data-driven decision-making.
- Leverage Vertex AI to design and integrate advanced analytics, machine learning, and A

📌 Senior Data Engineer (Bengaluru)
🏢 Levi Strauss
📍 Bengaluru