Senior Azure Cloud Engineer @ Capgemini Polska Sp. z o.o.
(práce v Polsku)

Senior Azure Cloud Engineer @ Capgemini Polska Sp. z o.o.

Polsko

YOUR PROFILE

• Proven experience with Microsoft Azure Cloud environment and services (e.g., AI Service, Azure Data Factory, Azure Synapse Analytics)
• Good experience in data engineering, with a focus on building and managing ETL pipelines
• Experience with SQL and NoSQL databases
• Strong experience in programming languages such as Python and SQL (Javascript/Typescript is plus)
• Strong understanding of data modeling, data warehousing, and big data technologies
• Familiarity with GenAI models such as LLM and natural language processing techniques
• Experience with Azure Cognitive Services and other AI/ML frameworks
• Knowledge of LLM and RAG solution is preferred
• Familiarity with DevOps practices and CI/CD pipelines
• Strong English language skills
• Strong problem-solving and analytical skills

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.

WHAT YOULL LOVE ABOUT WORKING HERE

Practical benefits: permanent employment contract from the first day; hybrid, flexible working model; equipment package for home office; private medical care  with Medicover; life insurance; Capgemini Helpline; NAIS benefit platform;

Access to 70+ training tracks with certification opportunities; platform with free access to Pluralsight, TED Talks, Coursera, Udemy Business and SAP Learning HUB

Community Hub that will allow you to choose from over 20 professional communities that gather people interested in, among others: Salesforce, Java, Cloud, IoT, Agile, AI. 

GET TO KNOW US

Capgemini is committed to diversity and inclusion, ensuring fairness in all employment practices. We evaluate individuals based on qualifications and performance, not personal characteristics, striving to create a workplace where everyone can succeed and feel valued.

Do you want to get to know us better? Check our Instagram — @capgeminipl or visit our Facebook profile — Capgemini Polska. You can also find us on TikTok! — @capgeminipl.

ABOUT CAPGEMINI

Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 360,000 team members globally in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. 

Apply now!

,[Collaborating with data scientists and software engineers to integrate GenAI models into business applications, such as conversational chatbots and analytics, Managing, optimizing, and streamlining Data/AI workflows using AI orchestrators like LangChain, Utilizing the Azure Cloud environment and services, including AI Service, Data Factory, Synapse Analytics, Container App, App Jobs, and App Configuration, to build, manage, and run data pipelines and cloud-native applications, Implementing Azure Cognitive Services for natural language processing and other AI functionalities, Designing and managing efficient database schemas to meet application data requirements, Performing database tuning and query optimization to ensure high performance, Working closely with cross-functional teams to understand business requirements and translate them into technical solutions, Documenting data workflows, processes, and architectures, Ensuring that all data solutions adhere to security and compliance standards, including data encryption and access controls] Requirements: Microsoft Azure, ETL, NoSQL, Python, SQL, TypeScript, Natural language processing, DevOps, CI/CD, JavaScript, Data modeling Additionally: Sport subscription, Training budget, Private healthcare, International projects, Free coffee, Bike parking, Shower, Mobile phone, Modern office, No dress code.

Kategorie

data

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