Lead Data Engineer
About The Position
As part of the Data Science team, this engineer will be responsible for building a data pipeline to provide the Data Scientists with the data they need. The engineer will be responsible for designing and building pipelines, designing the structures that will be usable by the Data Scientists, and identifying the best sources for the data. The engineer will also be responsible for designing and coding projects on an AI/ML Measurements Dashboard to monitor the usage and performance of AI and ML within the RJ applications. The engineer will need to demonstrate database expertise and be able to integrate domain knowledge with a technical understanding. Needs to explore new technology options in the AWS and Machine Learning space, with a high sense of ownership over every deliverable.
Requirements
- 10+ years in software development, with a strong focus on Oracle databases.
- Expertise in SQL, Oracle, and Python
- Solid understanding of Financial Services products and business practices.
- Experience with: Python, Pandas, and CI/CD practices.
- Solid understanding of database performance best practices.
- Demonstrated success in bringing innovative technical solutions for complex projects.
- Strong problem-solving skills with a data-driven approach.
- Excellent verbal and written communication abilities.
- Bachelor’s: Computer and Information Science (Required)
- General Experience - 6 to 10 years
Nice To Haves
- Explore new technology options in the AWS and Machine Learning space
Responsibilities
- Research new database technologies to take advantage of features to make the data available in the optimal format for the data scientists.
- Oracle Development: Design and optimize complex SQL queries for performance.
- Python Development: Build and maintain robust Python automation scripts.
- Produces dynamic, data driven solutions to support the strategic business goals.
- Team Mentorship: Lead and mentor junior developers, fostering a collaborative and innovative engineering culture.
- Help develop next generation data platforms to integrate into the Machine Learning platforms, for example, contributing to the cloud based Data Lake.
- Focus on designing, building, and launching efficient and reliable data infrastructure to meet ML needs.
Benefits
- medical
- dental
- vision
- life insurance
- critical illness insurance
- accident insurance
- disability benefits
- retirement savings
- paid time off (including vacation, holidays, and sick leave)
- parental leave
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What This Job Offers
Job Type
Full-time
Career Level
Senior
