Lead Data Engineer

November 10

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Logo of Ex Parte

Ex Parte

Legal Analytics β€’ Artificial Intelligence β€’ Machine Learning β€’ Natural Language Processing β€’ Data Science

2 - 10 employees

πŸ€– Artificial Intelligence

🀝 B2B

πŸ“‹ Compliance

πŸ’° $7.5M Series A on 2022-02

Description

β€’ Lead a team that owns the AI self-service portal and related microservices. β€’ Work with product owners and data experts to solve complex client problems. β€’ Build and support a distributed platform for all ExParte data. β€’ Collaborate with internal teams and evaluate software implementation options. β€’ Work with data analysts on data collection efficiencies and automation potential. β€’ Integrate best practices in program design and development. β€’ Develop technical architectures to meet business needs. β€’ Guide software engineering best practices and conduct code reviews. β€’ Troubleshoot new and existing code, providing feedback and solutions.

Requirements

β€’ 3+ years experience with RDBMS and T-SQL. β€’ 3+ years experience with NoSQL and DataLakes. β€’ 3+ knowledge of Spark, Python, or Scala. β€’ Strong familiarity with map/reduce programming models. β€’ Proficiency in writing production-quality code. β€’ Deep expertise in database schema design, optimization, and scalability. β€’ Experience with Azure or AWS cloud-based service-oriented architecture. β€’ Solid understanding of testing pyramid (unit, integration, black box, service). β€’ Experience working in an Agile/Scrum environment. β€’ Strong analytical and problem-solving skills. β€’ Good time management and organizational skills. β€’ Ability to work on challenging issues independently or in a team environment. β€’ Ability to learn and adapt quickly to new technologies and environments. β€’ Strong communication skills. β€’ Nice-to-have's: Experience with Databricks or Azure ML, experience applying machine learning algorithms to solve complex data mining problems, experience with BI tools, understanding of cloud platforms and providers and DevOps.

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