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.
Experience working with Graph Databases such as Neo4jMemgraph 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.
Required Skills:
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)
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...
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.
Experience working with Graph Databases such as Neo4jMemgraph 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.
Required Skills:
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)