Lead Data Engineer

🕒 il y a 5 mois

🇵🇱 Pologne – Télétravail

⏰ Temps Plein

🟠 Senior

🚰 Ingénieur Data

👻 Score fantôme 69%

Ce que ça veut dire : la probabilité que cette offre reste ouverte sans recrutement actif.Comment le lire : 60 % ou plus, on pense que c'est une offre fantôme. Un score plus bas est moins inquiétant.Comment on la calcule : ancienneté, republications, postes ouverts vs taille de l'équipe, rapidité de clôture, et si le salaire est indiqué.À noter : une estimation à partir de données publiques, pas un jugement sur l'entreprise. De vraies offres peuvent avoir un score élevé, alors prenez-le comme un indice, pas comme un fait.

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Ex Parte

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⚖️ Juridique

💼 Conseil

🛡️ Assurance

💰 €7 500 000 Series A en 2022-02

Legal • Consulting • Insurance

Ex Parte est une entreprise qui utilise l'intelligence artificielle et le machine learning pour prédire les résultats des litiges, offrant à ses clients un avantage décisif dans les batailles juridiques. L'entreprise se concentre sur la fourniture de solutions innovantes qui aident les clients à naviguer et à réussir dans le domaine juridique en tirant parti de technologies avancées.

Description

• Lead a team that owns the AI self-service portal and the related set of microservices. • Work with a cross-functional team of engineers to contribute to our data platform. • Build and support a distributed platform supporting all ExParte data. • Work across our product, primarily on the data pipelines. • Interface directly with internal teams. • Evaluate software and implementation options and document them for technical teams. • Work with data analysts to collect insight on possible data collection efficiencies and identify automation potential for manual workflows. • Integrate best qualitative practices in program design and development. • Be a part of a distributed team (we’re in North America and Europe). • Work with Azure cloud and Databricks. • Develop technical architectures and specific implementations to meet business needs. • Guide the team’s software engineering best practices by documenting standards and completing code reviews. • Troubleshoot new and existing code and provide feedback and solutions to structural issues in the codebase as they arise. • Advise on the feasibility of nonfunctional requirements and ensure the successful implementation of features while meeting those requirements.

🎯 Exigences

• 3+ Knowledge of Spark, Python, or Scala • 3+ years experience with RDBMS and T-SQL. • 3+ years experience with NoSQL and DataLakes. • Strong familiarity with map/reduce programming models • Proficiency in writing production-quality code • Deep expertise in database schema design, optimization, and scalability • Experience with Azure or AWS cloud-based service-oriented architecture • Solid understanding of testing pyramid (unit, integration, black box, service) • Experience working in an Agile/Scrum environment • Strong analytical and problem-solving skills • Good time management and organizational skills • Ability to work on challenging issues independently or in a team environment • Ability to learn and adapt quickly to new technologies and environments • Strong communication skills • Nice-to-have's: • Experience with Databricks or Azure ML • Experience applying machine learning algorithms to solve complex data mining problems • Experience with JavaScript/Typescript, HTML5, and CSS3 • Experience with .NET core and entity framework core. • Experience with Power BI Embedded • Understanding of cloud platforms and providers, specifically Microsoft Azure • Knowledge of CI/CD tools in Azure DevOps • Bachelor's Degree in Computer Science, Engineering, Mathematics or related field

🏖️ Avantages

• Employees can work remotely