Senior Data Engineer (AWS)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Senior Data Engineer (AWS): Building and optimizing data pipeline architecture and tooling to support analytics and machine learning platforms with an accent on scalable data extraction and transformation. Focus on designing infrastructure for ML model flexibility, optimizing cloud data warehouse performance, and mentoring junior engineers.
Location: Remote (Must be based in Ukraine)
Company
is a fintech company revolutionizing financial services for Americans through digital banking and lending products under brands like CreditNinja and NinjaCard.
What you will do
- Supervise and mentor junior data engineers, overseeing project planning and quality control.
- Design and maintain optimal data pipeline architectures for efficient data flow across the organization.
- Develop infrastructure for extracting, transforming, and loading data using SQL, Python, and AWS.
- Extend the machine learning platform by building tools that interface with cloud services to provide model building flexibility.
- Create analytics tools to provide actionable business performance insights for the analytics team.
- Assemble complex datasets that meet specific functional and business requirements.
Requirements
- 5+ years of experience in a Data Engineer role.
- Advanced proficiency in SQL and experience with relational databases including Postgres and MySQL.
- Strong experience with Python and object-oriented design.
- Hands-on experience with AWS services: EC2, RDS, Redshift, Glue, and S3.
- Proven track record of building data pipelines from raw, loosely structured data.
- Bachelor's degree in Computer Science, Statistics, or a similar quantitative field.
Nice to have
- Strong analytic skills and understanding of statistical methodologies.
- Experience building machine learning models and handling data for model usage.
- Experience building and maintaining RestAPI systems and Flask apps.
- Familiarity with continuous integration (CI) in a data science context.
- Experience with Ruby on Rails.
Culture & Benefits
- Flexible, remote work arrangement.
- Dynamic start-up culture.
- Fun, fast-paced work environment.
- Equal opportunity employer.
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