Snowflake Data Engineer: Cloud Pipelines & GenAI

Capgemini; Województwo pomorskie; Híbrido; PLN 180 000 - 240 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Well-being benefits

Extensive training access

Hybrid work model

GetWellbeing & Capgemini Helpline

Resumo da oferta

Capgemini Polska is seeking a Snowflake Data Engineer to design, develop, and maintain Snowflake data pipelines, collaborating with cross-functional teams to meet data requirements and ensure secure, high-performance data delivery.

You will optimize data models, monitor data quality, and contribute to AI/ML initiatives using Snowflake and related tools. The role requires strong SQL basics and hands-on Snowflake experience, in a hybrid work environment.

Qualificações

• 3+ years of Big Data or Cloud project experience including Snowflake
• Hands-on Snowflake experience (>=1 year)
• Experience designing data transformations with Snowflake or partners
• Good knowledge of Snowflake pricing and cost optimization
• Basic SQL and at least one language: Python/Scala/Java
• Very good command of English

Responsabilidades

• Design, develop, and maintain Snowflake data pipelines.
• Collaborate with cross-functional teams to meet data needs.
• Optimize data models and schemas for performance.
• Ensure data integrity, quality, and security.
• Implement monitoring and alerting for issues.
• Plan and execute migration to Snowflake from on-prem.
• Develop AI, ML and Generative AI solutions.
• Stay updated on Snowflake best practices and new tech.

Conhecimentos

Big Data

SQL

Python

Scala

Java

Ferramentas

Snowflake

Descrição da oferta de emprego

Capgemini Polska is seeking a Snowflake Data Engineer to design, develop, and maintain Snowflake data pipelines, collaborating with cross-functional teams to meet data requirements and ensure secure, high-performance data delivery.

You will optimize data models, monitor data quality, and contribute to AI/ML initiatives using Snowflake and related tools. The role requires strong SQL basics and hands-on Snowflake experience, in a hybrid work environment.