Data Engineer
генерация резюме под вакансию
сопроводительное письмо
описание
The Tech & Data practice at PwC provides opportunities to assist clients in gaining competitive advantages by collaborating with business leaders to address complex challenges and identify strategic opportunities.
задачи
- Build data pipelines to move and transform data across cloud and on-prem systems;
- Develop optimised data models ensuring performance, scalability and data quality;
- Integrate data from multiple sources while applying governance and quality controls;
- Implement optimised datasets for reporting and analytics;
- Work with stakeholders to turn business needs into scalable data solutions.
требования
- BSc or MSc in Computer Science, Engineering or a related technical field;
- At least 2 years of experience in ETL/ELT and data integration using Azure and/or Databricks;
- Proficiency in SQL (T-SQL/KQL) and Python/PySpark for data transformation and processing;
- Hands-on experience in Azure Data Factory, ADLS, Microsoft Fabric and/or Databricks;
- Strong understanding of data architecture and modelling (dimensional/relational);
- Experience in scalable cloud and on-prem platforms (SSMS, SSIS, SSAS, SSRS);
- Fluent in both written and spoken English;
- Fluent in both written and spoken Portuguese;
- Nice to have: Know-how in data quality, governance and/or Power BI data modelling.
условия
- No conditions specified
навыки
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