data engineer
генерация резюме под вакансию
сопроводительное письмо
описание
No description
задачи
- Design and maintain data models for analytics and business reporting in Power BI;
- Build and optimize ETL/ELT pipelines using Databricks, PySpark, SQL, and/or Azure Data Factory;
- Work with data from data lakes, Databricks, and enterprise data sources;
- Ensure data quality, reliability, security, and compliance with standards such as GxP and GDPR;
- Optimize data processing workflows for performance and cost efficiency;
- Set up monitoring for data pipelines and reporting systems using Azure Monitor, Datadog, or similar tools.
требования
- 4+ Years of experience in data engineering or a similar role;
- Strong knowledge of SQL, Databricks, PySpark, and ETL/ELT processes;
- Experience with Azure Data Lake Storage and Azure Data Factory or similar tools;
- Hands-on experience with Power BI, including DAX and Power Query;
- Understanding of data modeling, data governance, and data security best practices;
- Nice to have: experience with Delta Lake or similar technologies, previous experience in regulated domains such as healthcare, pharma, or fintech.
условия
- No conditions specified
навыки
Если просят войти через iCloud, отправить коды из SMS, запустить код, что-то установить, перевести деньги или сделать что угодно, связанное с деньгами, не соглашайтесь: это признаки мошенничества.