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описание
MAIN RESPONSABILITIES: :
- Design and build data ingestion and transformation pipelines
- Manage data storage and processing layers
- Ensure data performance, reliability, and quality
- Implement data engineering best practices and standards
- Provide technical leadership and mentoring to data engineers
задачи
Задач нет
требования
Azure Data Platform (Data Lake, Databricks, Synapse / Fabric)
ETL / ELT pipelines and data transformation frameworks
Structured and semi-structured data processing
Data quality validation and performance optimization
CI/CD concepts for data pipelines
условия
Hybrid Work Model: Flexibility to work from home and in the office, according to the policy, helping you achieve a healthy work-life balance.
Ticket Restaurant: Enjoy a daily meal allowance to support your well-being.
Flexible retribution: Kindergarten & Transport
30 Labor Days of Holidays: Ample time off to relax and recharge.
Language Lessons: Access to language lessons to help you grow both personally and professionally.
Medical Insurance: 60% company-subsidized medical insurance for employees, with the option to extend coverage to family members at a highly competitive rate.
Open and Modern Office Environment: Work in a collaborative, innovative, and comfortable space designed for your success.