Data Engineer with Snowflake (AI&Data)
⚲ Warsaw, Krakow, Wroclaw, Poznan, Gdansk, Bialystok
12 000 – 20 000 zł / mies.
Wymagania
- Python
- SQL
- AWS
- Azure
Opis stanowiska
At the AI&Data, we work locally and globally with over 250 Poland-based specialists. Our expertise spans data architecture and sectoral specialization. We collaborate with tech partners like Microsoft, AWS, Google, Oracle, and Snowflake to implement cutting-edge solutions. We provide comprehensive support from strategy definition to solution implementation and development, covering all aspects of Data & Analytics.
You will:
- design, build and maintain scalable data pipelines and data processing frameworks supporting analytics and AI use cases.
- collaborate with business stakeholders, solution architects and technical leads to translate business requirements into robust data engineering solutions.
- implement and optimize data ingestion, transformation and orchestration processes using Snowflake and leading cloud platforms (AWS/Azure/GCP).
- work with structured and unstructured data from multiple sources, ensuring high data quality, reliability and performance.
- support development of modern data platforms, including Data Warehouses, Data Lakes, Lakehouse and Data Mesh architectures.
- contribute to CI/CD processes, Infrastructure as a Code and automation of data workflows.
- participate in troubleshooting, performance tuning and optimization of existing data solutions.
- be involved in POC/POV initiatives and support innovation in data engineering practices and tools.
- contribute to the growth of Snowflake technology practice in AI & Data and share knowledge within the team.
Flexible: The work location for this role may include a mix of working remotely (most of the time), onsite at a client or in an Accenture office – depending on specific project circumstances. With all our roles, there is some in-person time for collaboration, learning and building relationships with clients, peers, leaders, and communities. As an employer, we will be as flexible as possible to support your specific work/life needs.
You will:
- design, build and maintain scalable data pipelines and data processing frameworks supporting analytics and AI use cases.
- collaborate with business stakeholders, solution architects and technical leads to translate business requirements into robust data engineering solutions.
- implement and optimize data ingestion, transformation and orchestration processes using Snowflake and leading cloud platforms (AWS/Azure/GCP).
- work with structured and unstructured data from multiple sources, ensuring high data quality, reliability and performance.
- support development of modern data platforms, including Data Warehouses, Data Lakes, Lakehouse and Data Mesh architectures.
- contribute to CI/CD processes, Infrastructure as a Code and automation of data workflows.
- participate in troubleshooting, performance tuning and optimization of existing data solutions.
- be involved in POC/POV initiatives and support innovation in data engineering practices and tools.
- contribute to the growth of Snowflake technology practice in AI & Data and share knowledge within the team.
Flexible: The work location for this role may include a mix of working remotely (most of the time), onsite at a client or in an Accenture office – depending on specific project circumstances. With all our roles, there is some in-person time for collaboration, learning and building relationships with clients, peers, leaders, and communities. As an employer, we will be as flexible as possible to support your specific work/life needs.
🔍 Dekoder Ogłoszenia
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implement and optimize data ingestion, transformation and orchestration processes using Snowflake and leading cloud platforms (AWS/Azure/GCP)
Oczekuje się, że będziesz samodzielnie konfigurować i optymalizować złożone procesy, a nie tylko korzystać z gotowych narzędzi.
🔴
collaborate with business stakeholders, solution architects and technical leads to translate business requirements into robust data engineering solutions
Może oznaczać, że będziesz musiał wykazać się umiejętnościami komunikacyjnymi i negocjacyjnymi, aby zrozumieć i doprecyzować niejasne wymagania biznesowe.
🔴
support development of modern data platforms, including Data Warehouses, Data Lakes, Lakehouse and Data Mesh architectures
Może oznaczać pracę nad nowymi, eksperymentalnymi architekturami, które nie są jeszcze w pełni dojrzałe i mogą wymagać rozwiązywania nieprzewidzianych problemów.
🔴
contribute to CI/CD processes, Infrastructure as a Code and automation of data workflows
Oczekuje się, że będziesz aktywnie uczestniczyć w tworzeniu i utrzymaniu infrastruktury oraz procesów automatyzacji, a nie tylko z nich korzystać.
🔴
be involved in POC/POV initiatives and support innovation in data engineering practices and tools
Może oznaczać pracę nad projektami badawczo-rozwojowymi, które nie mają gwarantowanego sukcesu i mogą wymagać eksperymentowania z nowymi technologiami.