Job Description
We're transforming our customer support data from static, disconnected reports into a live, AI-powered system. We're looking for an experienced Data Engineer to build the pipelines, storage, and logic that power our recent AI agents — turning messy customer chats and tickets into clean, structured information our AI can reliably use.
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nJob Responsibilities
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- Ingest and clean large volumes of unstructured support data from Bliss, Salesforce, Sprinklr, and JIRAn
- Design storage and retrieval systems (including vector databases) that give our AI accurate, relevant contextn
- Build a centralized, reliable metrics layer for AI-driven analyticsn
- Build robust, monitored, failure-resistant pipelines — no fire drillsn
- Partner with ops, product, and engineering; push back on poor data practices at the sourcen

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nRequired Skills
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- 5+ years in data engineering with big data tools (Hadoop, Hudi, Spark, Presto, Pinot, Flink, Kafka) and cloud data warehousesn
- Strong hands-on Python and PySparkn
- Proven use of AI tools (e.g., Claude, Codex) to accelerate development — automating checks, parsing messy text, building data logic layersn
- Direct experience with vector databases (Pinecone, Milvus, Weaviate, pgvector) and AI-feeding data pipelinesn
- Bonus: experience building metric or semantic layersn

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nIf this opportunity aligns with your experience and interests, I'd be happy to discuss it further. Please send your updated resume to [email protected].

📌 Mid/Senior Data Engineer (Bengaluru)
🏢 Pegasus Knowledge Solutions
📍 Bengaluru