Snowflake Data Engineer: AI-Powered Cloud Pipelines

Capgemini

Poznań

Hybrid

PLN 180,000 - 240,000

Full time

22 hours ago
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Benefits offered by this job

Medicover private medical care
Multisport card
Capgemini Helpline for wellbeing

Job summary

Capgemini Polska seeks a data engineer to design, build, and maintain Snowflake data pipelines across business functions. You will collaborate with analytics and engineering teams to model data, optimize performance, and ensure security throughout the data lifecycle.

The role emphasizes hands-on Snowflake experience, SQL and programming skills (Python/Scala/Java/Bash), and strong English communication in a global Capgemini environment. A hybrid work model is offered.

Qualifications

  • 3+ years in Big Data or Cloud projects with data processing/visualization experience.
  • Hands-on Snowflake experience (at least 1 year).
  • Understanding Snowflake pricing and cost optimization.

Responsibilities

  • Design, develop, and maintain Snowflake data pipelines.
  • Collaborate with cross-functional teams to define data requirements and deliver scalable solutions.
  • Optimize data models and schemas for performance and efficiency.
  • Ensure data integrity, quality, and security throughout the lifecycle.
  • Implement monitoring and alerting systems for proactive issue resolution.
  • Plan and execute migration from on-prem data warehouses to Snowflake.
  • Develop AI/ML/Generative AI solutions.
  • Stay updated on Snowflake best practices and evolving tech.

Skills

Snowflake
SQL
Python/Scala/Java/Bash
Big Data
Public Cloud
Snowflake Security
English

Job description

Capgemini Polska seeks a data engineer to design, build, and maintain Snowflake data pipelines across business functions. You will collaborate with analytics and engineering teams to model data, optimize performance, and ensure security throughout the data lifecycle.

The role emphasizes hands-on Snowflake experience, SQL and programming skills (Python/Scala/Java/Bash), and strong English communication in a global Capgemini environment. A hybrid work model is offered.

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