We are looking for an experienced

Lead Data Engineer to design and build a next-generation Risk & Entity Intelligence Platform. The ideal candidate will lead the development of scalable data pipelines, entity resolution systems, graph databases, and risk intelligence solutions while mentoring a team of engineers. This is a hands-on leadership role involving architecture, development, and technical decision-making.

Requirements
5+ years of experience in Data Engineering.
Minimum 2 years of experience in Compliance, KYC/AML, Risk Intelligence, or Sanctions Screening platforms.

Experience with sanctions, watchlists, PEP data, corporate registry data, beneficial ownership data, or adverse media datasets is highly preferred.
Exposure to

NLP/ML

, Elasticsearch/OpenSearch, and multilingual data processing is an added advantage.
Robust

Python and

SQL





; workflow orchestration (Airflow, Dagster or Prefect); cloud data infrastructure (

AWS/GCP

).
Hands-on experience in building scalable ETL/Data Ingestion pipelines.
Expertise in

Entity Resolution/Record Linkage tools (Splink, Dedupe, Senzing, Zingg, etc.).
Experience working with

Graph Databases such as

Neo4j

,

Memgraph

, or

TigerGraph

.Familiarity with the FollowTheMoney (FTM) data model, OpenSanctions/yente, OpenCorporates, Sayari or Moody’s Grid ecosystems.
Solid understanding of APIs, web scraping, and large-scale data acquisition.
Excellent leadership, mentoring, and problem-solving skills.

📌 Lead Data Engineer Coimbatore (India)
🏢 InFynd
📍 India