Senior Data Engineer – Live Ingestion & Reliability

Note: This job is not for Fomogo, but one of our clients, NextAlphaAI

About NextAlpha

We build AI-powered intelligence for India's retail investment market. Our product, InvestorAI, is embedded inside broker apps — giving investors company intelligence and portfolio alerts drawn from BSE/NSE filings. Seed-funded, post-stealth, integrating with broker partners now.

We're building a governed AI platform — not an agent playground. Every number the AI shows an investor traces back to a verified filing. If you've built pipelines that failed, recovered, and stayed correct, this role is for you.

What you'll work on

• Ingest BSE/NSE financial filings at scale — quarterly results, annual reports, shareholding patterns, corporate actions. Structured CSV and unstructured PDF
• Extract structured data from PDFs and investor presentations — including documents where numbers appear only in tables or charts. This is the hardest part of the role
• Enforce a validation and approval pipeline before any data reaches the AI or investors. Nothing bypasses the human review gate
• RAW → APPROVED → QUARANTINED lifecycle, full lineage, immutable audit log. No silent failures, no partial updates leaking downstream
• Corrections and restatements via versioning, not overwrites
• Own the embedding pipeline for semantic search — chunk, embed, store, query
• Dead letter queues, idempotent retries, checksum verification — day one, not afterthoughts

What we're looking for

• 3–5 years on production data ingestion pipelines — not analytics, not ML modelling
• Real PDF extraction experience in production: pdfplumber, pymupdf, or equivalent
• Strong Python, solid SQL, schema design
• Pipeline orchestration — Airflow, Prefect, or equivalent
• Correctness-first instinct. You reason about failure modes before shipping

Nice to have: Financial data exposure (BSE/NSE formats, fintech/wealthtech background). Vector store experience (pgvector, Pinecone). Multi-tenant environments.

This role is NOT a BI, streaming, delete-and-reload, or ML role. It is a data reliability and ingestion ownership role. The pipeline you build controls what the AI can say — and what it cannot.

Why join

Small team, real product, real broker partners. High ownership, senior guidance. Your work directly controls what investors see — and what the AI is not allowed to say.