Инженер данных
генерация резюме под вакансию
сопроводительное письмо
описание
EPAM provides digital engineering, cloud, and AI-enabled transformation services, as well as digital product design and consulting.
задачи
- Maintain and improve existing near-real-time data pipelines;
- Design and implement new ETL/data integration processes;
- Troubleshoot production issues, performance bottlenecks, and data quality problems;
- Analyze business requirements and translate them into technical solutions;
- Explore and validate data directly in databases;
- Participate in code reviews, testing, and documentation;
- Provide 3rd-line support for data solutions;
- Collaborate with architects, technical leads, product, and engineering teams.
требования
- 5+ Years of experience in data engineering and ETL development;
- Expertise in Snowflake, Data Vault modeling, and incremental loading strategies;
- Experience with near real-time data processing;
- Proficiency in SQL;
- Skills in at least one ETL/orchestration tool such as Matillion, Airflow, or Alteryx;
- Familiarity with Azure Cloud;
- Upper-Intermediate English language proficiency (B2+);
- Nice to have: Knowledge of Python.
условия
- No conditions specified
навыки
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