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

4 days ago

Gdańsk Wrocław Poznań Warszawa Kraków, Czech Republic Capgemini Polska Sp. z o.o. Full time

YOUR PROFILE Strong experience in data engineering, including working with Azure Strong Python for data processing and automation. Hands-on experience with one of the following: Databricks, Snowflake, or Microsoft Fabric. Strong communication skills and very good English language skills. Nice to have: Strong SQL skills and experience with database optimization. Knowledge of DevOps practices, CI/CD pipelines, and Infrastructure as Code (IaC) tools (Terraform, Bicep). Familiarity with key Azure services: Data Lake, Event Hub, Data Factory, Synapse Analytics, Azure Functions. Exposure to containerization (Docker, Kubernetes) and cloud security best practices. Experience in real-time data processing and streaming technologies like Kafka or Spark Streaming. Hands-on experience with PySpark. Certifications such as DP-900, DP-203, AZ-204, or AZ-400. 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 is a dynamic team of over 400 professionals delivering cutting-edge data solutions. We specialize in Cloud & Big Data engineering, building scalable systems for complex datasets across AWS, Azure, and GCP. Our expertise spans the full Software Development Life Cycle (SDLC), utilizing modern data processing tools, advanced programming techniques, and DevOps best practices to create impactful solutions. Come on Board  WHAT YOU'LL LOV 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, Could, 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. ,[Design and implement Azure-based data solutions for large-scale and unstructured datasets., Develop and optimize data pipelines using Azure Data Factory, Databricks, or Snowflake., Collaborate with solution architects to define and implement best practices in data engineering., Ensure data quality, scalability, and security across all Azure-based solutions.] Requirements: Data engineering, Azure, Python, Databricks, Snowflake, Communication skills, SQL, DevOps, CD pipelines, Infrastructure as Code, Terraform, Bicep, Data Lake, Docker, Kubernetes, Cloud, Security, Kafka, Spark Streaming, PySpark Additionally: Training budget, Sport subscription, Private healthcare, International projects, Free coffee, Bike parking, Free parking, Mobile phone, In-house trainings, Modern office, No dress code.

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