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 contemporary 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.
Versatile 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