Cloud Data Architect @ Capgemini Polska Sp. z o.o.

YOUR PROFILE Good experience as an Architect and/or Technical Leader in Cloud or Big Data projects in the field of data processing and visualization (in different phases of SDLC); Practical knowledge of one of the following clouds: AWS, Azure, GCP in the area of Storage, Compute (+Serverless), Networking and Devops supported by work on commercial projects; Familiarity with at least few of the following technologies: Cloud Dataflow, BigQuery, Cloud Dataproc, Cloud KMS, Pub/Sub, Google Kubernetes Engine, Apache Beam, Kafka, Spark, Snowflake, Data Lake Gen2, Event Hub, Data Factory, Databricks, Azure DWH, Azure Function, Power BI, Terraform, Redshift, Glue, Athena, Kinesis, Lambda; At least basic command of one of the programming languages: Python, Scala, java, bash; 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 You will be a part of our Insights & Data practice, and member of a team that delivers cutting-edge data centric solutions. Most of our projects are Cloud & Big Data engineering. We develop solutions to process large, also unstructured, datasets, with custom build Cloud Data services on AWS, Azure or GCP. We are in charge of for full SDLC of the solution: apart from using data processing tools (e.g. ETL), we code a lot in Python, Scala or Java and use DevOps tools and best practices. The data is either exposed to downstream systems via API, outbound interfaces or visualized on reports and dashboards. Within our AI CoE we deliver Data Science and Machine Learning projects with focus on 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.  ,[Creating architecture for systems processing large and unstructured datasets (Data Lake Architecture, Streaming Architecture);, Designing modern DWH / Big Data solutions in the cloud and in the Continuous Delivery / Continuous Integration environment., Data model design, data flow documentation., Supporting the Team as a Technical Leader, ensuring system compliance with standards and best practices in software development.] Requirements: Big data, SDLC, AWS, Azure, GCP, Compute (+ Serverless), Networking, DevOps, Cloud dataflow, BigQuery, Cloud Dataproc, Cloud KMS, Pub/Sub, Kubernetes, Apache beam, Kafka, Spark, Snowflake, Data Lake Gen2, Event Hub, Data Factory, Databricks, Azure DWH, Azure Functions, Power BI, Terraform, Redshift, Glue, Athena, Kinesis, Lambda, Python, Scala, Java, Bash Additionally: Private healthcare, life insurance.