Загрузи резюме, чтобы видеть мэтчи с вакансиейЗагрузи резюме, чтобы видеть мэтч с вакой
подготовься к отклику
ai-инструменты
Чтобы адаптировать резюме под вакансию или составить сопроводительное письмо, загрузи резюме
описание
Tecknuovo delivers data solutions that help customers make better use of their data. Its multidisciplinary delivery teams build data pipelines, platforms and integrations, and transfer knowledge so customer teams can own and evolve those solutions.
задачи
Design, build and maintain scalable data pipelines and processing solutions that move and transform data across customer environments
Deliver ETL/ELT processes and integrations across structured, semi-structured and unstructured data sources
Build and evolve cloud-based data platforms, applying engineering judgement to performance, scalability, security and maintainability
Develop data models for analytics, reporting and operational use cases
Embed data quality, validation, monitoring and observability to identify and resolve issues
Apply software engineering practices, including version control, automated testing, CI/CD and infrastructure as code
Collaborate with technical and non-technical stakeholders to understand problems and translate requirements into practical data solutions
Contribute to technical design decisions, engineering standards and continuous improvement across the delivery team
Troubleshoot complex data and platform issues, taking ownership through to resolution and communicating with affected people
Document solutions and share knowledge with customer teams and colleagues
Develop or improve data pipelines, refine data models, test integrations and investigate solution performance and quality
Work with architects, analysts and customer stakeholders to understand requirements and agree on technical approaches
Review code and document key decisions
требования
Demonstrable experience delivering data solutions using Databricks or Snowflake, alongside AWS and/or Azure
Experience delivering new data lake patterns or transforming existing data lake environments
Strong understanding of building scalable, secure and maintainable data solutions
Practical experience with data replication and change data capture (CDC) technologies in large, complex environments
Experience with Python, SQL, data pipelines, ETL/ELT, data modelling and cloud-based data platforms
Ability to work through ambiguity, understand customer outcomes and make pragmatic technical decisions
Clear communication of technical concepts and effective collaboration across multidisciplinary teams
Ownership of the quality and reliability of delivered solutions
Будет плюсом: experience with enterprise database products such as Oracle
