Reve - Data Architect - ETL

2 weeks ago

Mumbai, India Rêve Full time

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 Python/Go/Node.js.- 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. (ref:hirist.tech)

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