Description:

Sayari is a global corporate data provider and commercial intelligence platform that serves various sectors including financial institutions, legal and advisory services, multinationals, journalists, and governments.
The company culture emphasizes the use of open data to prevent illicit activities, innovative problem-solving, and the value of diverse perspectives.
As a Senior Data Engineer, you will work with the data team to build the graph that supports Sayari’s products.
Responsibilities include building and maintaining ETL pipelines to process and export record data, developing and improving entity resolution processes, implementing logic for risk information, collaborating with product and development teams to refine requirements, and managing regular data releases.

Requirements:

Candidates must have expertise in Python and a JVM programming language such as Scala.
Proficiency in SQL (e.g., Postgres) and NoSQL databases (e.g., Cassandra, Elasticsearch, Memgraph) is required.
A minimum of 7 years of experience in designing, maintaining, and orchestrating ETL pipelines using tools like Apache Spark and Apache Airflow in cloud environments such as GCP, AWS, or Azure is necessary.
Desired skills include experience with entity resolution, graph theory, distributed computing, Kubernetes, and working in an agile development team using methodologies like Scrum or Kanban.

Sayari offers a collaborative and positive culture with a team of smart and driven individuals.
There are limitless growth and learning opportunities available to employees.
The company is strongly committed to diversity, equity, and inclusion.
Employees can expect performance and incentive bonuses as part of their compensation.
Comprehensive family-friendly benefits include full healthcare coverage, commuter benefits, 401K matching, generous vacation, and parental leave.
The company also provides coverage for conferences and continuing education, as well as team-building events and opportunities.