Snowflake Data Engineer: Cloud Pipelines & AI Solutions

Capgemini; Wrocław; Hybrid; PLN 150,000 - 230,000; Full time

Benefits offered by this job

Well-being programs

70+ training tracks with certification

Hybrid work model

Job summary

Capgemini Poland is seeking a Data Engineer to design, develop, and maintain Snowflake data pipelines for diverse business functions. You will collaborate with cross-functional teams to implement scalable data solutions, optimize data models, and ensure data integrity and security across the data lifecycle.

The role involves migration planning from on-prem to Snowflake, plus development of AI/ML/Generative AI solutions and staying current with Snowflake best practices.

Qualifications

• Experience in Big Data or Cloud projects with data processing and visualization.
• Hands-on Snowflake experience required (1+ year).
• Familiarity with Snowflake pricing and cost optimization.
• Experience designing data transformation pipelines and using DevOps practices.

Responsibilities

• Design, develop, and maintain Snowflake data pipelines.
• Collaborate with cross-functional teams to identify data requirements.
• Optimize data models and schemas for performance.
• Ensure data integrity, quality, and security throughout the lifecycle.
• Implement monitoring and alerting to address issues proactively.
• Plan migrations from on-prem to Snowflake.
• Develop AI/ML/Generative AI solutions and stay updated with Snowflake best practices.

Skills

Big Data

Snowflake

Python

Scala

Java

SQL basics

Cloud platforms

Tools

Snowflake

Job description

Capgemini Poland is seeking a Data Engineer to design, develop, and maintain Snowflake data pipelines for diverse business functions. You will collaborate with cross-functional teams to implement scalable data solutions, optimize data models, and ensure data integrity and security across the data lifecycle.

The role involves migration planning from on-prem to Snowflake, plus development of AI/ML/Generative AI solutions and staying current with Snowflake best practices.