Welcome to our Finance & Governance value stream, where we create value by automating and implementing finance and governance processes, enabling data-driven business analytics, and delivering trusted metrics for financial reporting. As a Senior Data Engineer, you will play a key role in building and migrating critical data pipelines and tools that future-proof our Finance business domain. You will also help advance our ambition to become AI-driven, accelerating delivery and improving quality. You will be an integral part of our Post-Trade & Finance Engineering team.
сегодня
Data engineer
ориентир по рынку
вакансия
зп не указана
в среднем
290 566 ₽
мэтч
Загрузи резюме, чтобы видеть мэтчи с вакансиейЗагрузи резюме, чтобы видеть мэтч с вакой
подготовься к отклику
ai-инструментыЧтобы адаптировать резюме под вакансию или составить сопроводительное письмо, загрузи резюме
описание
задачи
- Developing the NAM Data Platform by integrating new data sources and implementing transformations to meet evolving business requirements.
- Building a semantic model that enables effective business reporting and analysis.
- Developing internal tools to support NAM’s migration to the NAM Data Platform.
- Contributing to the migration of our data warehouse to the NAM Data Platform.
- Continuously improving the platform by adopting relevant technologies, tools, and engineering patterns as they emerge.
требования
- Value good software practices such as “Everything-as-code”, automated testing, good CI/CD practices, all in service of continuous delivery with high speed and quality
- Believe in the “you build it, you run it” approach to ownership
- Adept at learning swiftly, interested in exploring better ways of working
- Hands-on experience with Snowflake
- Hands-on experience with DBT
- Hands-on experience with Python DLT
- Experience building and deploying containerised applications on Kubernetes
- Experience designing and building DAGs using Apache Airflow
- Extensive experience using Python for data engineering
- Extensive experience with SQL
- Experience in data modelling and architecture of analytical models
- Будет плюсом: Knowledge of SQL Server, SSIS and/or SSAS; Knowledge of Power BI and tabular data models; Interest in AI models and their practical applications; Experience working with a data mesh strategy; Experience working in end-to-end delivery teams; Experience with infrastructure-as-code tools, such as Terraform
условия
- Условий в вакансии нет
навыки
Если просят выйти из iCloud, прислать код из SMS, запустить или установить что-то, перевести деньги — не соглашайся: это мошенничество.
