Opstree Solutions - Python Data Engineer

Description

Python Data Engineer

ETL/ELT

cloud billing datasets

Required Qualifications

• 4- 8+ years of Python development experience.
• Strong experience with data engineering, especially ETL/ELT pipelines.
• Experience working with AWS, Azure, or GCP usage & billing datasets.
• Hands-on experience with pandas, NumPy, PySpark, or similar data processing frameworks.
• Familiarity with Kubernetes, cloud compute primitives, and distributed systems.
• Experience building dashboards or integrating with BI tools (e.g., Grafana, Datadog, custom internal tools).
• Strong understanding of cloud resource utilization metrics and cost drivers.
• Ability to work in a fast-paced, execution-driven environment.
  

Preferred Qualifications

• Prior FinOps or cloud cost optimization experience.
• Familiarity with Elasticsearch/OpenSearch, Redis, Cassandra/Keyspaces, Kafka, and other backend infra.
• Prior experience in a B2B SaaS environment with large-scale microservices.
• Experience integrating automation/analytics into DevOps workflows.
• Strong knowledge of time-series analysis and anomaly detection.
  

Key Responsibilities

• Design and maintain scalable ETL/ELT pipelines for cloud billing and usage data.
• Develop Python-based solutions for data processing and analytics.
• Collaborate with DevOps teams to integrate cost optimization tools into workflows.
• Build dashboards and reporting tools for cloud resource utilization and cost metrics.
• Ensure compliance with best practices for distributed systems and cloud infrastructure.