Back
Tier-1 employer, mid-level data engineer in Noida, common role and mid experience drive high competition.
FinOps-focused data engineering with cloud billing, data pipelines, and tooling requires strong cloud and data background.
Multiple mandatory cloud, data engineering, and DevOps skills plus 5+ years experience make filters strict.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Build and maintain scalable data pipelines and infrastructure for FinOps platform across AWS and GCP environments.
Develop data models and automated quality controls to support cloud cost forecasting, allocation, budgeting, and optimization.
Enable platform features like APIs, dashboards, analytics, and support operational excellence with CI/CD and infrastructure automation.
5+ years of data engineering experience.
Strong skills in SQL and Python development.
Experience with cloud-native data technologies and building data pipelines in AWS and/or GCP.
Experience with DevOps practices including CI/CD pipelines, Docker, Kubernetes, and Infrastructure as Code.
Experienced in cloud cost management and FinOps concepts, ideally with FinOps Practitioner certification.
Familiar with data orchestration and warehousing tools like BigQuery, Snowflake, Databricks, Airflow.
Capable of collaborating cross-functionally to deliver timely, scalable data products for financial governance and reporting.