Senior Data Platform Engineer

🕒 il y a 9 jours

🇺🇸 États-Unis – Télétravail

💵 $170 000 - $230 000 / an

⏰ Temps Plein

🟠 Senior

🚰 Ingénieur Data

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SentiLink

Site WebLinkedInTous les Emplois

51 - 200 employés

Fondée en 2017

🔐 Sécurité

💳 Fintech

💸 Finance

💰 €70 000 000 Series B en 2021-08

Security • Fintech • Finance

SentiLink est une entreprise spécialisée dans la lutte contre la fraude à l'identité pour les institutions financières. En utilisant des modèles d'apprentissage automatique et l'expertise humaine, SentiLink fournit des solutions sur mesure pour arrêter le vol d'identité lors de la demande pour divers services financiers, y compris les dépôts, le crédit et les prêts. Leurs produits garantissent que les clients peuvent accéder aux services financiers en toute sécurité tout en minimisant les pertes dues à la fraude avec une approche flexible et réactive de la gestion des risques.

Description

• Build, expand, and optimize data infrastructure in order to create the most accurate dataset of identities and their relationships • Develop and operate secure, scalable, and reliable data ingestion and ETL/ELT pipelines that meet product requirements • Design and maintain a data observability framework to ensure our data meets strict quality and freshness standards • Optimize data storage layer and build/maintain interfaces to enable scalable and fast data access to our data stores • Collaborate with product teams (squads) supporting their data platform needs for smooth delivery of existing and new products • Participate in call rotation for production issues, along with the rest of engineering • Mentor junior engineers and contribute to our evolving engineering best practices • Drive innovation by actively participating in our hackathons and doing proof of concepts • Develop functional subject matter expertise within various areas of identity fraud domain

🎯 Exigences

• 5+ years of experience in software engineering, data engineering or related field • Proficient in in python or golang and related technologies and frameworks • Expertise in building and maintaining ETL/ELT pipelines at scale leveraging distributed data processing technologies like spark, hadoop, kafka or similar technologies • Hands-on experience with public cloud platforms such as AWS, Microsoft Azure or GCP • 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 • Experience building enterprise grade, scalable, containerized data services and frameworks on Kubernetes or similar platforms • Working knowledge of Infrastructure-as-Code and devops practices • Excellent analytical and problem solving skills, interpersonal skills and a sense of humor (enjoy the journey) • Self organized and ability to work independently and with ambiguity • Experience working in a scrum / Agile development environment • Bonus points if you have: • Experience working with Spark/EMR • Built streaming applications • Experience with AWS technologies such as EKS, SQS/SNS, EMR, Redshift, S3 etc. • Prior experience working in a fintech startup • Candidates must be legally authorized to work in the United States and must live in the United States

🏖️ Avantages

• Employer paid group health insurance for you and your dependents • 401(k) plan with employer match (or equivalent for non US-based roles) • Flexible paid time off • Regular company-wide in-person events • Home office stipend, and more!