Senior Data Engineer
Temporary
NinjaHoldings
Role Description
We are looking for a Senior Data Engineer to join a team of analytics and machine learning experts. The hire will be responsible for:
- Building tooling to support analytics
- Helping to extend our machine learning platform
- Expanding and optimizing our data pipeline architecture
- Supervising junior engineers
- Interfacing with the Development team to create cross-team solutions
The ideal candidate is an experienced data engineer and data wrangler who enjoys optimizing data systems and building them from the ground up. They must be self-directed and comfortable supporting the data needs of multiple teams, systems, and products. Experience in analytics and statistics is a major bonus. The right candidate will be excited by the prospect of optimizing or even re-designing our company's data architecture to support our next generation of products and data initiatives, as well as mentoring and guiding junior members of the team.
Qualifications
- 5+ years of experience in a Data Engineer role
- Bachelor's degree in Computer Science, Statistics, Informatics, Information Systems, or another quantitative field
- Advanced working SQL knowledge and experience working with relational databases (including Postgres and MySQL)
- Experience building data pipelines, architectures, and data sets from raw, loosely structured data
- A history of focusing on test-driven design and results for repeatable and maintainable processes and tools
- Experience building processes supporting data transformation, data structures, metadata, dependency, and workload management
- Working knowledge of message queuing, stream processing, and highly scalable data stores
- Strong project management and organizational skills
- Experience supporting and working with cross-functional teams in a dynamic environment
- Experience managing junior engineers and guiding a team of engineers through project planning, execution, and quality control stages
Requirements
- Experience with object-oriented design in Python
- Experience with data pipeline and workflow management tools
- Experience with AWS cloud services: EC2, RDS, Redshift, Glue, S3
Additional Pluses
- Strong analytic skills and understanding statistical methodologies
- Experience building machine learning models
- Experience handling data from acquisition to usage in models
- Experience building and maintaining RestAPI systems, Flask apps, and state machines
- Experience with continuous integration, especially in a data science context
- Experience with Ruby on Rails
Benefits
- Flexible, remote work
- Fun, fast-paced work environment
- Dynamic start-up culture
- Equal opportunity employer
Vacancy posted a month ago
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