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.

Robust hands-on experience with Python and SQL.

Experience with workflow orchestration tools such as Apache Airflow, Dagster, or Prefect.

Experience with cloud platforms (AWS or 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.

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

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.

Excellent leadership, mentoring, and problem-solving skills.

📌 Lead Data Engineer Tamil Nadu
🏢 InFynd
📍 Tamil Nadu