Lead Data Engineer

Company : Infynd

Job Description - Lead Data Engineer

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.

Strong 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.

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

Excellent leadership, mentoring, and problem-solving skills.

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Lead Data Engineer

Job Description - Lead Data Engineer

Requirements

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