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

YOUR PROFILE strong experience in Big Data or Cloud projects in the areas of processing and visualization of large and unstructured datasets (in different phases of Software Development Life Cycle); practical knowledge of the Azure cloud in Storage, Compute (+Serverless), Networking and DevOps areas supported by commercial project work experience; very good knowledge of Python and SQL; practical Azure cloud knowledge (for example from the MS Learn courses) supported with certificates (for example DP-900, DP-200/201, AZ-204, AZ-400); experience with several of the following technologies: Data Lake Gen2, Event Hub, Data Factory, DataBricks, Azure DWH, API Azure, Azure Function, Power BI; very good command of English. 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 PROJECT 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.  WHAT YOU’LL LOVE ABOUT WORKING HERE? Practical benefits: paid internship; hybrid, flexible working model; integration events and celebrations of special days.Access to 70+ training tracks with certification opportunities; platform with free access to Pluralsight, TED Talks, Coursera, Udemy Business and SAP Learning HUBCommunity 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.  ,[designing and implementing Azure Data solutions for handling extensive and/or unstructured datasets;, utilizing Azure Databricks and other services for advanced data processing, analytics, and machine learning tasks, optimizing performance and scalability;, collaborating with solution architects to establish and promote data engineering best practices and standards within the Azure ecosystem;, implementation, optimization and testing of modern DWH/Big Data solutions based on Azure cloud platform and Continuous Delivery / Continuous Integration environment;, data processing efficiency improvement, migrations from on-prem to public cloud platforms;, mentoring and guiding junior data engineers in Azure-specific technologies, fostering a culture of continuous learning.] Requirements: Big data, Azure, Compute (+ Serverless), Networking, DevOps, Python, SQL, Data Lake gen2, Event Hub, Data Factory, DataBricks, Azure DWH, API Azure, Azure Functions, Power BI Additionally: Private healthcare, life insurance.