Job DescriptionKey Responsibilities

NPipeline development — Design, build, and maintain robust data pipelines to ingest new datasets onto the firm's data platform as demand arises from the investment and analyst teams. Automation — Automate ingestion, transformation, and data-quality workflows to reduce manual effort and speed up onboarding of new sources.

NData platform — Structureand organize datasets so they can be integrated, joined, and queried effectively across the platform.

N- AI enablement (roadmap)— Process large volumes of documents into formats suitable for AI consumption;

store and index contentin vector databases;

support retrieval workflows (RAG) that surface the right information reliably.

N- Insight & reporting (roadmap) — Enable effective querying across multiple integrated datasets to combine information and support sensible, decision-ready reporting.

N- Stakeholder collaboration — Work directly with the hiring manager and analysts to scope new requirements, prioritise the pipeline backlog, and respond quickly as new needs emerge.

N nKey Competencies:

N nRequired Skills - 4–5+years of hands-on data engineering experience,



ideally within financial services or data intensive environments.

N- Strong experience building and orchestrating data pipelines with Apache Airflow. - Solid working knowledge of Apache Spark for large-scale data processing.

N- Strong Python and SQL skills, with a focus on clean, maintainable, production-quality code. Experience designing data models and organizing datasets for downstream integration and querying.

N- Track record of automating data workflows and building for reliability, monitoring, and data quality.

N nNice to Have.

n n- Exposure to AI/LLM engineering: document processing at scale, embeddings, and vector databases (e.G. pgvector, Pinecone, Weaviate, or similar).

N- Experience building or supporting retrieval-augmented generation (RAG) workflows.

N- Familiarity with cloud data platforms and contemporary data stack tooling.

N- Prior experience supporting investment management, hedge fund, or capital markets data environments.

N- Experience working as adedicated remote resource embedded with a client team

📌 Technical Lead (India)
🏢 Acuity Analytics
📍 India