Snowflake Engineer
⚲ Warszawa
150–200 zł netto (+ VAT) / godz.
Wymagania
- SQL
- Python
Opis stanowiska
Nasze wymagania:
Proven experience with Snowflake and Snowpark for Python in production environments.
Strong background in building complex data pipelines and calculation engines, including SQL and Python development.
Experience with orchestration tools and implementing controlled reruns and reconciliation processes.
Familiarity with automated testing approaches for data systems, data quality frameworks and lineage tooling.
Demonstrated ability to analyse and optimise Snowflake performance and cost, including query tuning and resource management.
Good understanding of data modelling, ETL/ELT principles and cloud data platform best practices.
Effective communication skills and experience working collaboratively across technical and non-technical teams.
Relevant degree or equivalent professional experience in computer science, data engineering or a related field.
O projekcie:
We are seeking an experienced Snowflake Engineer to join a data engineering team focused on building and maintaining robust, high-performance data platforms.
Zakres obowiązków:
Design, implement and maintain scalable data pipelines and calculation engines using Snowflake and Snowpark for Python.
Develop and maintain orchestration workflows with controlled reruns, reconciliation processes and error-handling strategies.
Implement automated testing frameworks for data pipelines, covering unit, integration and end-to-end tests.
Establish and maintain data quality controls, monitoring, and lineage documentation to support traceability and regulatory requirements.
Analyse query patterns and storage usage to optimise Snowflake performance and control costs through clustering, partitioning, caching and resource governance.
Collaborate with cross-functional teams including data engineering, analytics, and product stakeholders to translate requirements into reliable solutions.
Produce clear technical documentation, runbooks and handover materials to support operational readiness.
Oferujemy:
Remote work.
Opportunities for professional development and technical training relevant to cloud data platforms and engineering practices.
Flexible working practices to support work–life balance.
Collaborative team culture focused on technical excellence and operational reliability.
Unique TEAL culture, relationship- and respect-driven community, non-corporate atmosphere.
Agile approach and no bureaucracy.
Outstanding integration trips to various places in Europe for all employees.
Activities to support your well-being and health.
Luxmed Gold Extended medical care and Multisport Plus benefit.
Proven experience with Snowflake and Snowpark for Python in production environments.
Strong background in building complex data pipelines and calculation engines, including SQL and Python development.
Experience with orchestration tools and implementing controlled reruns and reconciliation processes.
Familiarity with automated testing approaches for data systems, data quality frameworks and lineage tooling.
Demonstrated ability to analyse and optimise Snowflake performance and cost, including query tuning and resource management.
Good understanding of data modelling, ETL/ELT principles and cloud data platform best practices.
Effective communication skills and experience working collaboratively across technical and non-technical teams.
Relevant degree or equivalent professional experience in computer science, data engineering or a related field.
O projekcie:
We are seeking an experienced Snowflake Engineer to join a data engineering team focused on building and maintaining robust, high-performance data platforms.
Zakres obowiązków:
Design, implement and maintain scalable data pipelines and calculation engines using Snowflake and Snowpark for Python.
Develop and maintain orchestration workflows with controlled reruns, reconciliation processes and error-handling strategies.
Implement automated testing frameworks for data pipelines, covering unit, integration and end-to-end tests.
Establish and maintain data quality controls, monitoring, and lineage documentation to support traceability and regulatory requirements.
Analyse query patterns and storage usage to optimise Snowflake performance and control costs through clustering, partitioning, caching and resource governance.
Collaborate with cross-functional teams including data engineering, analytics, and product stakeholders to translate requirements into reliable solutions.
Produce clear technical documentation, runbooks and handover materials to support operational readiness.
Oferujemy:
Remote work.
Opportunities for professional development and technical training relevant to cloud data platforms and engineering practices.
Flexible working practices to support work–life balance.
Collaborative team culture focused on technical excellence and operational reliability.
Unique TEAL culture, relationship- and respect-driven community, non-corporate atmosphere.
Agile approach and no bureaucracy.
Outstanding integration trips to various places in Europe for all employees.
Activities to support your well-being and health.
Luxmed Gold Extended medical care and Multisport Plus benefit.
🔍 Dekoder Ogłoszenia
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Proven experience with Snowflake and Snowpark for Python in production environments.
Oczekuje się, że kandydat ma udokumentowane, samodzielne doświadczenie w pracy z tymi technologiami, a nie tylko teoretyczną wiedzę.
🔴
Strong background in building complex data pipelines and calculation engines, including SQL and Python development.
Może oznaczać, że będziesz odpowiedzialny za tworzenie od podstaw skomplikowanych i czasochłonnych procesów, a nie tylko ich utrzymanie.
🔴
Experience with orchestration tools and implementing controlled reruns and reconciliation processes.
Może to sugerować, że będziesz musiał radzić sobie z istniejącymi, potencjalnie niedoskonałymi systemami orkiestracji i rozwiązywać problemy z danymi.
🔴
Familiarity with automated testing approaches for data systems, data quality frameworks and lineage tooling.
Chociaż brzmi pozytywnie, może oznaczać, że będziesz musiał stworzyć te frameworki od zera lub pracować z niepełnymi narzędziami.
🔴
Effective communication skills and experience working collaboratively across technical and non-technical teams.
Może oznaczać, że będziesz musiał często tłumaczyć skomplikowane zagadnienia techniczne osobom nietechnicznym, co bywa czasochłonne.