Reve - Data Architect - ETL

7 days ago

Mumbai Metropolitan Region, India Rêve Full time ₹ 15,00,000 - ₹ 25,00,000 per year

Key Responsibilities
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).

Search & Marketplace Intelligence

  • 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.

AI/ML Services

  • 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.

Required Skills & Experience
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.

Search Engines & Marketplace Tech

  • Hands-on experience with Typesense, Elasticsearch, or Solr.
  • Background in marketplace or price aggregation systems (e.g., e-commerce, travel, fintech, or cloud pricing).

Ai & Nlp

  • 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
  • Deep understanding of cloud platforms (AWS/Azure/GCP) and their pricing models.
  • Experience with containerized & serverless environments (Docker, Kubernetes, Lambda).

Bonus

  • Prior experience in FinOps, cloud cost management, or SaaS marketplaces.
  • Exposure to graph databases for relationship-driven recommendations.

What We Offer

  • 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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