Work directly with product owners and data experts to build products that 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

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

Lead Data Engineer

Key skills