EP

Lead Data Engineer

Ex ParteÅland Islands, Albania + 106 more

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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.

In this role, you can expect to:

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

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EP

Lead Data Engineer

Ex ParteÅland Islands, Albania + 106 more

Apply now

Opens the original posting.

Apply now

Share job

Copy link or share on social media.

Apply on the original site

Companies in this catalog do not charge applicants. Never send money to apply.

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.

In this role, you can expect to:

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+ years experience with RDBMS and T-SQL.
3+ years experience with NoSQL and DataLakes.
3+ Knowledge of Spark, Python, or Scala
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 BI tools

Understanding of cloud platforms and providers and DevOps

Bachelor's Degree in Computer Science, Engineering, Mathematics or related field
All your information will be kept confidential according to EEO guidelines.
Ex Parte provides our customers with the data and insight to make smart and informed decisions on the most important legal issues facing their organizations.

We are is looking for talented, enthusiastic senior data engineers who share our passion for big data, AI, and machine learning and are excited by seemingly-impossible challenges. As an early employee, you must be amazingly entrepreneurial and thrive in a fast-paced environment where the solutions aren’t predefined.

Every year, corporations spend more than $250B on litigation in the United States alone. And yet, critical decisions such as whether to litigate or settle, or where to file suit or which attorney to hire, are all made the same way they were 100 years ago.

We are applying artificial intelligence, machine learning, and natural language processing to provide our customers with the insight they need to make highly informed decisions and gain a winning advantage. Think of it like Moneyball, but for a market more than 20x the size of Major League Baseball.

Originally posted on Himalayas