Snowflake Data Engineer - Cloud Pipelines & AI Solutions

Capgemini

Kraków

Hybrid

PLN 180,000 - 240,000

Full time

3 days ago
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Benefits offered by this job

Medicover health care
Private life insurance
Multisport card
Hybrid work model
70+ training tracks on NEXT platform

Job summary

Capgemini in Krakow is seeking a Data Platform Engineer to design, develop, and maintain Snowflake data pipelines that support multiple business functions. You will collaborate with cross-functional teams to build scalable data solutions, optimize data models, and ensure data security throughout the lifecycle.

The role requires hands-on Snowflake experience, SQL proficiency, and knowledge of at least one public cloud.

Qualifications

  • 3+ years of experience in Big Data or Cloud projects handling large/unstructured data
  • Hands-on Snowflake experience with data pipelines or migrations
  • Strong SQL skills and ability to design data transformation pipelines
  • Familiarity with Snowflake pricing models and cost optimization
  • Experience with at least one public cloud platform (storage, compute, networking, DevOps)

Responsibilities

  • Design, develop, and maintain Snowflake data pipelines to support business functions
  • Collaborate with cross-functional teams to understand data requirements
  • Optimize data models and schemas for performance and efficiency
  • Ensure data integrity, quality, and security across the data lifecycle
  • Implement monitoring and alerting to proactively address issues
  • Plan and execute migration from on-prem data warehouses to Snowflake
  • Develop AI/ML and Generative AI solutions
  • Stay updated on Snowflake best practices and emerging technologies

Skills

Big Data
Python/Scala/Java
SQL
DevOps
Data Modeling

Tools

Snowflake
AWS
Azure
GCP

Job description

Capgemini in Krakow is seeking a Data Platform Engineer to design, develop, and maintain Snowflake data pipelines that support multiple business functions. You will collaborate with cross-functional teams to build scalable data solutions, optimize data models, and ensure data security throughout the lifecycle.

The role requires hands-on Snowflake experience, SQL proficiency, and knowledge of at least one public cloud.

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