Responsibilities
- Drive enterprise data architecture and data warehouse modernization initiatives, providing strategic vision and scalable pipeline solutions to support business requirements and Coupa's AI engine.
- Design, deploy, and maintain automated end-to-end ETL/ELT pipelines from the ground up across cloud data lakes and warehouses.
- Implement up-to-date Data Mesh architectures and build transformation workflows utilizing Data Build Tool (DBT) and orchestration platforms such as Cloud Composer / Apache Airflow.
- Leverage AI/ML frameworks and spend data to power predictive analytics, recommendation platforms, and retail search services.
- Develop and maintain automated monitoring, logging, and alerting systems to ensure high data quality, availability, performance, and operational reliability.
- Ingest and consolidate data from diverse third-party APIs, legacy databases (SQL Server, Oracle), and platforms (Salesforce, Customer Data Platforms) into unified cloud data warehouses.
- Investigate and resolve complex data pipeline, data lineage, and query performance issues,



providing technical expertise across teams.
- Collaborate with cross-functional engineering, analytics, and product teams across global time zones (US, Europe, India) to deliver data for business intelligence and Power BI reporting.
- Conduct regular data audits, assessments, and security governance to ensure compliance with enterprise policies and standards.
- Mentor and guide junior data engineers to cultivate a high-performing technical team.
- Flexible and adaptable to work across international time zones.

Requirements
- Bachelor's/Master's degree in Computer Engineering, Computer Science, or equivalent experience
- 5+ years of experience in data engineering, data warehouse modernization, and large-scale ETL development
- Expertise in cloud-native data platforms, with heavy specialization in GCP BigQuery and core cloud services (GCS, Cloud Functions, Dataflow)
- Advanced scripting and progr

📌 Sr Cloud Software Engineer (Pune)
🏢 Coupa
📍 Pune