Description:

SentiLink is seeking a Senior Data Platform Engineer to own data infrastructure components supporting their identity verification products.
The role involves collaboration with product, engineering, and data science teams to enhance the data platform for fraud detection.

Requirements:

5+ years of experience in software engineering, data engineering, or related field.
Proficient in Python or Golang and related technologies.
Expertise in building and maintaining ETL/ELT pipelines using distributed data processing technologies (e.g., Spark, Hadoop).
Hands-on experience with public cloud platforms (AWS, Azure, GCP).
Deep understanding of various database technologies (RDBMS, NoSQL, etc.) and optimization techniques.
Experience building scalable, containerized data services on Kubernetes.
Knowledge of Infrastructure-as-Code and DevOps practices.
Excellent analytical, problem-solving, and interpersonal skills.
Experience in a Scrum/Agile development environment.
Must be legally authorized to work in the U.S. and reside in the U.S.

Skills

Benefits