Azure Data Engineering Expert @ Capgemini Polska Sp. z o.o.
(práce v Polsku)

Azure Data Engineering Expert @ Capgemini Polska Sp. z o.o.

Polsko

• strong experience in data engineering
• very good experience with data-oriented Python (Polars, Pandas, Pyspark)
• very good experience with Microsoft Azure, especially Synapse is a plus
• Solid understanding of cloud architecture
• ITIL
• Strong analytical skills and customer focus
• Can rapidly adapt and respond to changes in environment and priorities
• Advanced English is a must
• Excellent communication skills with high customer focus
• Desirable: Database knowledge, PowerBI knowledge, experience in Bl Projects & DataVault 2.0

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.

WHAT YOU’LL LOVE ABOUT WORKING HERE

• Enjoy hybrid working model that fits your life - after completing onboarding, connect work from a modern office with ergonomic work from home, thanks to home office package (including laptop, monitor, and chair). Ask your recruiter about the details.
• Access to over 70 training tracks with certification opportunities (e.g., GenAI, Architects, Google) on our NEXT platform. Dive into a world of knowledge with free access to Education First languages platform,  Pluralsight, TED Talks, Coursera and Udemy Business materials and trainings.
• Practical benefits: private medical care with Medicover with additional packages (e.g., dental, senior care, oncology) available on preferential terms, life insurance and 40+ options on our NAIS benefit platform, including Netflix, Spotify or Multisport.

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!

,[Developing new functionality within the Python-based ETL pipeline, Ongoing maintenance and optimization of existing pipelines, Planning the capacity and sizing of service components, as well as proactively managing cloud components, Initiating the planning and setup of new service components, Coordinating the operations and maintenance of related software, complex server infrastructure, and databases (such as Synapse, PowerBI, and local development environments), Service-related documentation must be maintained in accordance with customer technology standards, Monitoring services and managing SLA performance will be an ongoing task, Processes and configurations related to the environments must be documented, maintained, and optimized, Collaboration with various stakeholders, including development, architecture, rollout, and operations teams, as well as customers, will be necessary for managing releases, upgrades, and changes] Requirements: Data engineering, Python, pandas, Microsoft Azure, Cloud, ITIL, Communication skills, PowerBI Additionally: Sport subscription, Training budget, Private healthcare, International projects, Free coffee, Bike parking, Free parking, In-house trainings, Modern office, No dress code.

Kategorie

data

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