Описание
The client is a large investment company headquartered in New York City. The project enhances a production Data Platform that provides business users with insights for data-driven investment decisions and evolves its architecture to improve usage efficiency.
Задачи
•Design and implement robust data models
•Develop reliable ETL pipelines
•Design and implement the data warehouse
•Contribute to the evolution of the data warehouse
•Develop new Data Platform features and projects for specific business data-driven needs
•Introduce architectural changes to increase usage efficiency
Требования
•5+ Years of work experience in a data engineering role or 3–5 completed projects
•Experience with Snowflake, including Open Flow and Iceberg
•Experience with Python, Azure, ETL pipelines, dbt, and complex SQL queries
•Knowledge of data management fundamentals, including data modeling, data quality, metadata management, data warehouse/lake patterns, and distributed systems
•Good spoken English
•Nice to have: Financial or investment experience
Условия
•Vacation according to the laws of the employment country
•Health insurance for the employee and loved ones
•Sick pay: 10 days without a doctor's note, afterwards according to the laws of the employment country
•Time off for state holidays according to the official calendar
•Two large corporate parties and smaller colleague gatherings
•Technical and everyday workplace support
•Benefits may vary depending on the region and type of contract