What You Will Do
- Collaborate with Finance and Engineering understand project scopes around key FinOps initiatives.
- Design, build and maintain FinOps data platform and pipeline that process data from various sources.
- Manage key Financial and Product level data accurately for reporting & business decision making.
- Build anomaly detection systems and downstream processes that turn the detections to business value.
- Adopting best analytics data practices to continuously enhancing data quality throughout the system.
- Monitor ongoing cloud expenses and identify cost-saving opportunities, such as unused or underutilized resources in AWS for all cloud hosted products.
- Analyze cloud data to identify cost optimization and usage opportunities and create specific action items.
- Create reports, dashboards and alerts to track spending and usage trends and the potential impact of cost optimizations.
- Work with Product Engineering teams to understand Cloud business processes and cost drivers.
What You Will Bring
- 3+ years Python & SQL in a large-scale multi-region cloud production environment
- 3+ years in designing, building, deploying and managing analytics data platform and pipeline
- 2+ years in dbt & Analytics Databases (OLAP) like Redshift, ClickHouse
- Experience with Big Data Systems like Presto, Spark, OLAP
- Experience with Data Science libraries/tools like spark-family, Airflow, Dagster, pandas, Polars
- Experience working with best data observability practices preferred
- Experience with Cloud infrastructure – AWS or other cloud providers, Kubernetes, CloudFormation, Terraform with specifics of cost management and optimization for different cloud resources
- Proficient with CSV, JSON, Parquet file formats, and their usage in Big Data environments
- Ability to query, analyze and summarize data efficiently and accurately.
- Understanding of ML tools likeSageMaker/PyTorch is desired
- Experience with FinOps preferred
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