Back to SearchSenior Data Engineer Python (Spark, Databrick)
Data Software Engineering, Apache Spark, Microsoft Azure, Databricks, Python, Forecasting Models, Data Science, MLOps
Sorry, this position is no longer available
We are seeking a skilled remote Senior Data Engineer Python to join our project team. The ideal candidate is experienced in ML Engineering skills and can take data solutions built by data scientists and make them production-ready.
Responsibilities
- Collaborate with data scientists to create scalable and production-ready models
- Build ETL pipelines using Python and other data engineering tools
- Create and maintain database schemas and tables
- Collaborate with cross-functional teams to identify and prioritize technical requirements
- Write high-quality code that is scalable, robust and maintainable
Requirements
- At least 3 years of experience in Data Software Engineering
- Proficient in Spark and Databricks, Python
- Expertise in Azure and ADLS
- Familiarity with ML tools space
- Strong technical knowledge of Git and industry-standard data infrastructure
- Upper-Intermediate level English (B2+)
Nice to have
- Knowledge of Panda and SQL for relational tables
Benefits
- International projects with top brands
- Work with global teams of highly skilled, diverse peers
- Healthcare benefits
- Employee financial programs
- Paid time off and sick leave
- Upskilling, reskilling and certification courses
- Unlimited access to the LinkedIn Learning library and 22,000+ courses
- Global career opportunities
- Volunteer and community involvement opportunities
- EPAM Employee Groups
- Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn