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 Moodys Grid ecosystems.

Strong understanding of APIs, web scraping, and large-scale data acquisition.

Excellent leadership, mentoring, and problem-solving skills.

5-10 years
Python SQL Neo4j / Memgraph / TigerGraph Apache Airflow / Dagster / Prefect AWS / GCP ETL & Data Pipelines Entity Resolution Graph Databases APIs & Web Scraping Risk & Compliance Data Elasticsearch/OpenSearch (Good to Have)

Required Skill Profession

Computer And Mathematical

📌 Lead Data Engineer (Coimbatore)
🏢 InFynd
📍 Coimbatore