Lead Data Engineer

November 10

Apply Now

Receive Emails with Similar Jobs

Ex Parte

WebsiteLinkedInAll Job Openings

Legal Analytics • Artificial Intelligence • Machine Learning • Natural Language Processing • Data Science

2 - 10 employees

🤖 Artificial Intelligence

🤝 B2B

📋 Compliance

💰 $7.5M Series A on 2022-02

Description

• You'll lead a team that owns the AI self-service portal and the related set of microservices. • You'll work with a cross-functional team of engineers to contribute to our data platform. • The role also offers the opportunity to grow into either more back-end or ML/AI work depending on your interests and experience. • Work directly with product owners and data experts to build products that solve to solve complex client problems. • 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.

Requirements

• 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 • 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