Cloud Data Engineer
6 dni temu
Location- Krakow/Gdansk/Poznan/Wroclaw/Warsaw
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world
.YOUR TEAM
Insights & Data delivers state-of-the-art Data solutions. Our expertise primarily lies in Cloud & Big Data engineering, where we develop robust systems capable of processing extensive and complex datasets, utilizing specialized Cloud Data services across platforms like AWS, Azure, and GCP. We oversee the entire Software Development Life Cycle (SDLC) of these solutions, which involves not only leveraging data processing tools such as ETL but also extensive programming in languages like Python, Scala, or Java, coupled with the adoption of DevOps tools and best practices. The processed data is then made accessible to downstream systems through APIs, outbound interfaces, or is visualized via comprehensive reports and dashboards. Additionally, within our AI Center of Excellence, we undertake Data Science and Machine Learning projects with a focus on cutting-edge areas such as Generative AI, Natural Language Processing (NLP), Anomaly Detection, and Computer Vision
.YOUR TASK
- design, develop, and maintain
Snowflake data pipeline
s 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
.YOUR PROFILE
- 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 experienc
e) - ;understanding of
Snowflake's pricing mode
l and cost optimization strategies for managing resources efficiently - ;experience in designing and implementing
data transformation pipeline
s natively with Snowflake or Service Partners - ;familiarity with Snowflake's
security model - ;practical knowledge of at least one
Public Clou
d 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
.
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