Snowflake12 дней назад
Senior Data Engineer
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14 882 ₽медиана по профессии
Data Engineer · 26 вакансий с указанной зарплатой
6 667половина предложений: 11 421–16 23421 667
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Полная занятостьОфис
Обязанности
- 01Design, build, and launch production-ready data models and pipelines that scale effectively across the enterprise data lifecycle — from ingestion through transformation, modelling, and consumption
- 02Own complex system design decisions end-to-end, evaluating tradeoffs and documenting architectural choices clearly
- 03Implement enterprise-grade data governance frameworks and maintain rigorous data quality standards across the platform
- 04Develop and optimise data ingestion processes from diverse enterprise sources
- 05Align with the Product roadmap to build tools for the data platform and provide feature feedback as an internal customer zero
- 06Mature requirements gathering practices and apply Agile methodologies to data product development — including stand ups, sprint planning, reviews, and retrospectives
- 07Lead quality assurance efforts by defining testing strategies, identifying risks, and ensuring timely resolution of technical issues
- 08Build strong relationships with stakeholders at all levels — from executive to operational — translating ambiguous requirements into well-scoped technical work
- 09Proactively adapt to changing business requirements while maintaining solution integrity
Требования
- 01Bachelor's degree in Computer Science, Information Systems, or a related field with emphasis on system design, distributed systems, or data warehousing — or equivalent practical experience
- 025–8 years of hands-on experience building and operating production data pipelines, data models, and platform infrastructure at scale
- 03Expert-level SQL and strong Python skills, with experience in performance tuning, query optimisation, and schema design for large-scale analytical workloads
- 04Hands-on experience with Snowflake — including Snowpark, dynamic tables, data sharing, Snowflake Cortex, and cost optimisation techniques
- 05Deep expertise in DBT — advanced modelling patterns, testing frameworks, macro authoring, and project-level governance on Snowflake
- 06Strong proficiency with Apache Airflow — DAG design, operator customisation, dependency management, and operational best practices
- 07Solid understanding of dimensional modelling, data vault, and semantic layer design
- 08Strong system design and architectural reasoning — able to evaluate tradeoffs, explain decisions, and document designs clearly
- 09Excellent written and verbal communication skills; comfortable presenting technical recommendations to both engineering and non-technical stakeholders
- 10Collaborative problem-solver who actively elevates team practices, not just individual output
- 11Self-directed with strong ownership instincts — drives problems to resolution without requiring ongoing prompting
- 12Effective at navigating ambiguity and distilling requirements into well-scoped technical work