Informacje o stanowisku

We are looking for Cloud Data Engineer (Snowflake) for our client, a global leader collaborating with enterprises to help them transform and manage their business using modern technologies.

What we expect

• at least 3 years of experience in Big Data or Cloud projects in the areas of processing and visualization of large and/or unstructured datasets (including at least 1 year of hands-on Snowflake experience)
• understanding of Snowflakes pricing model and cost optimization strategies for managing resources efficiently
• experience in designing and implementing data transformation pipelines natively with Snowflake or Service Partners
• familiarity with Snowflake’s security model
• practical knowledge of at least one Public Cloud platform in Storage, Compute (+Serverless), Networking and DevOps area supported by commercial project work experience
• at least basic knowledge of SQL and one of programming languages: Python/Scala/Java/bash
• very good command of English

Employment agency entry number 47

this job offer is intended for people over 18 years of age

What we offer

• permanent employment contract
• hybrid, flexible working model - 2 days per weekin office
• co-financing to equip a workplace at home
• development opportunities:
• substantive support from project leaders
• a wide range of internal and external trainings (technical, language, leadership)
• certification support in various areas
• mentoring and a real impact on shaping your career path
• access to a database of over 2,000 training courses on Pluralsight, Coursera, Harvard platforms
• the opportunity to participate in conferences both as a listener and an expert
• relocation package
• benefits as part of the social package (cafeteria system, medical care for the whole family, group insurance on preferential terms)

Your tasks

• design, develop, and maintain Snowflake data pipelines to support various business functions
• collaborate with cross-functional teams to understand data requirements and implement scalable solutions
• optimize data models and schemas for performance and efficiency
• ensure data integrity, quality, and security throughout the data lifecycle
• implement monitoring and alerting systems to proactively identify and address issues
• plan and execute migration from on-prem data warehouses to Snowflake;
• develop AI, ML and Generative AI solution
• stay updated on Snowflake best practices and emerging technologies to drive continuous improvement

Wrocław - Oferty pracy w okolicznych lokalizacjach