Description:

Senior Software Engineer on the Data Platform team at SentiLink, responsible for data infrastructure supporting fraud detection products.
Collaborate with product, engineering, and data science teams to enhance and modify the data platform.

Requirements:

5+ years of experience in software engineering or data engineering.
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 database technologies (RDBMS, NoSQL, Columnar data stores).
Experience with 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