Data Engineer (Snowflake,Cloud)

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MidFull-time·Umowa o pracę
#346139·Dodano dziś·0
Źródło: Capgemini
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Tech Stack / Keywords

SnowflakeCloudBig DataAWSAzureGCPSoftware DevelopmentSDLC

Firma i stanowisko

Capgemini is an AI-powered global business and technology transformation partner with nearly 60 years of heritage, over 420,000 team members in more than 50 countries, delivering end-to-end services and solutions across strategy, technology, design, engineering, and business operations. The Insights & Data team delivers state-of-the-art data solutions focusing on Cloud & Big Data engineering, processing extensive and complex datasets using Cloud Data services on AWS, Azure, and GCP, and undertakes Data Science and Machine Learning projects including Generative AI, NLP, Anomaly Detection, and Computer Vision.


Wymagania

  • At least 3 years of experience in Big Data or Cloud projects involving processing and visualization of large and/or unstructured datasets, including at least 1 year of hands-on Snowflake experience
  • Understanding of Snowflake's pricing model and cost optimization strategies
  • Experience 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 supported by commercial project work experience
  • At least basic knowledge of SQL and one programming language: Python, Scala, Java, or bash
  • Very good command of English

Obowiązki

  • 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 solutions
  • Stay updated on Snowflake best practices and emerging technologies to drive continuous improvement

Oferta

  • Medical care with Medicover
  • Private life insurance
  • Multisport card
  • Capgemini Helpline offering therapeutical support
  • Educational podcast 'Let's talk about wellbeing'
  • Access to over 70 training tracks with certification opportunities (e.g., GenAI, Excel, Business Analysis, Project Management) on NEXT platform
  • Free access to Education First languages platform, Pluralsight, TED Talks, Coursera, and Udemy Business materials and trainings
  • Continuous feedback and ongoing performance discussions via GetSuccess performance management tool
  • Hybrid working model combining modern office and ergonomic work from home with home office package (including laptop, monitor, and chair)
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Inne informacje

Capgemini is committed to diversity and inclusion, ensuring fairness in all employment practices by evaluating individuals based on qualifications and performance, not personal characteristics.

Capgemini

Capgemini

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