Hyderabad, Telangana, India
Information Technology
Full-Time
Rêve
Overview
Key Responsibilities
Data Pipeline & ETL Architecture :
Data Engineering & ETL :
Data Pipeline & ETL Architecture :
- Design and implement robust pipelines to source pricing data automatically from hyperscaler APIs (AWS, Azure, GCP, Oracle, etc.) and regional providers.
- Develop validation and cleansing processes to ensure accuracy and consistency.
- Automate ingestion into Typesense (or alternative search engines).
- Architect and optimize intelligent search (fuzzy, semantic, NLP-driven).
- Design ranking algorithms that factor in price, performance, region, and compliance.
- Build features like deal scoring, recommendation engines, and AI-driven cost optimization.
- Explore and deploy NLP/LLM-powered search for contextual queries (best GPU for AI training in Europe under $2/hr).
- Experiment with anomaly detection for pricing errors and trend analysis.
- Work with the product team to build predictive models for cost-saving & Performance :
- Architect data systems that can scale globally with millions of records and fast response times.
- Implement monitoring, error-handling, and recovery strategies for critical data pipelines.
Data Engineering & ETL :
- 7+ years in data architecture, pipelines, or ETL frameworks (Airflow, dbt, Spark, Kafka, etc.).
- Proven experience building pipelines that integrate multiple external APIs.
- Strong skills in data validation, mapping, and schema design.
- Hands-on experience with Typesense, Elasticsearch, or Solr.
- Background in marketplace or price aggregation systems (e.g., e-commerce, travel, fintech, or cloud pricing).
- Experience with NLP / semantic search (e.g., vector embeddings, Pinecone, Weaviate, FAISS, OpenAI/LLM APIs).
- Knowledge of relevance ranking, recommendation systems, and & Cloud :
- Strong coding skills in Python/Go/Node.js.
- Deep understanding of cloud platforms (AWS/Azure/GCP) and their pricing models.
- Experience with containerized & serverless environments (Docker, Kubernetes, Lambda).
- Prior experience in FinOps, cloud cost management, or SaaS marketplaces.
- Exposure to graph databases for relationship-driven recommendations.
- Ground-floor opportunity in a fast-growing startup.
- Work with a team solving one of the biggest challenges in cloud adoption.
- Competitive salary + equity.
- Remote flexibility with global exposure.
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