Wrocław, Wrocław, Lower Silesian Voivodeship, Polska
Randstad Polska Sp. z o.o.
22. 11. 2024
Informacje o stanowisku
technologies-expected :
Big Data
Snowflake Data Cloud
about-project :
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.
responsibilities :
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
requirements-expected :
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
offered :
permanent employment contract
hybrid, flexible working model - 2 or 3 days per week in office at Wroclaw
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)