SentiLink is a company focused on combating identity fraud for financial institutions. By leveraging machine learning models and human expertise, SentiLink provides tailored solutions to stop identity theft at the point of application for various financial services, including deposits, credit, and lending. Their products ensure that customers can access financial services securely while minimizing fraud losses with a flexible and responsive approach to risk management.
51 - 200 employees
Founded 2017
π³ Fintech
π¦ Banking
π Cybersecurity
π° $70M Series B on 2021-08
March 13
πΊπΈ United States β Remote
π΅ $165k - $200k / year
β° Full Time
π Senior
π§βπ» Full-stack Engineer
Amazon Redshift
AWS
Azure
Cloud
Docker
ETL
Google Cloud Platform
Hadoop
Kafka
Kubernetes
NoSQL
Postgres
Python
RDBMS
Spark
Go
SentiLink is a company focused on combating identity fraud for financial institutions. By leveraging machine learning models and human expertise, SentiLink provides tailored solutions to stop identity theft at the point of application for various financial services, including deposits, credit, and lending. Their products ensure that customers can access financial services securely while minimizing fraud losses with a flexible and responsive approach to risk management.
51 - 200 employees
Founded 2017
π³ Fintech
π¦ Banking
π Cybersecurity
π° $70M Series B on 2021-08
β’ As a Sr. Software Engineer, Data Platform at SentiLink, you will own the data infrastructure components that support the SentiLink suite of products. β’ You will work with product, engineering, and data science teams across the company to build, enhance and modify the data platform that powers our fraud detection products. β’ You have outstanding programming skills and are proficient in our technology stack and pick up new technologies quickly as we evolve. β’ Technologies: Python, Golang, PostgreSQL (RDS), OpenSearch, Redshift, EMR, Spark, Docker, Lambda, AWS technologies β’ This is a remote, US-based role.
β’ 5+ years of experience in software engineering, data engineering or related field β’ Proficient in in python or golang and related technologies and frameworks β’ Expertise in building and maintaining ETL/ELT pipelines at scale leveraging distributed data processing technologies like spark, hadoop, kafka or similar technologies β’ Hands-on experience with public cloud platforms such as AWS, Microsoft Azure or GCP β’ Deep understanding of different database technologies including but not limited to RDBMS (e.g. postgres), NoSQL (OpenSearch, vector DB), Columnar data stores etc. and experience with writing efficient queries and optimization techniques β’ Experience building enterprise grade, scalable, containerized data services and frameworks on Kubernetes or similar platforms β’ Working knowledge of Infrastructure-as-Code and devops practices β’ Excellent analytical and problem solving skills, interpersonal skills and a sense of humor (enjoy the journey) β’ Self organized and ability to work independently and with ambiguity β’ Experience working in a scrum / Agile development environment β’ Bonus points if you have: β’ Experience working with Spark/EMR, β’ Built streaming applications, β’ Experience with AWS technologies such as EKS, SQS/SNS, EMR, Redshift, S3 etc., and/or β’ Prior experience working in a fintech startup. β’ Candidates must be legally authorized to work in the United States and must live in the United States
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