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Big Data Architect @ Britenet
BritenetRemote, Poland6 dni temu
Opis pracyMinimum 6 years of professional experience in the Big Data domain, with a strong focus on designing and implementing large-scale solutions Hands-on experience and practical knowledge in integrating AI and machine learning solutions with Big Data platforms Advanced knowledge of Big Data technologies such as Hadoop, Apache Spark, Kafka, Flink, Hive, and HBase Experience working with AI and ML frameworks, e.g., TensorFlow, PyTorch, scikit-learn, Spark MLlib Proficiency in programming with Python or Java Familiarity with NoSQL databases (e.g., Cassandra, MongoDB) and relational databases Experience working with cloud platforms (AWS, Azure, Google Cloud) and containerization / orchestration tools (Docker, Kubernetes) Knowledge of data workflow orchestration tools (e.g., Apache Airflow, NiFi) Strong analytical skills and the ability to solve complex technical problems Experience in team leadership or mentoring junior team members Ability to create technical documentation and effectively communicate with both technical and business stakeholders Experience in selling BI products and solutions is a plus Fluent English (C1 level)
Design, develop, and implement advanced Big Data architecture, including integration of AI and machine learning solutions, Analyze business and technical requirements and translate them into scalable and efficient data processing solutions, Select and integrate appropriate tools and technologies to support data processing and AI algorithms, Optimize data pipelines for performance and reliability, Monitor and maintain Big Data and AI infrastructure, ensuring high availability, scalability, and security, Provide mentoring and technical support for junior team members, Create technical documentation, presentations, and reports for business and technical stakeholders, Actively participate in the strategic planning of the organization's data platform and AI solution development] Requirements : Hadoop, Spark, SQL, MongoDB, Java, Python, Cloud, AI, Kafka Additionally : Sport subscription, Private healthcare, International projects, Free coffee, Canteen, Playroom, Free snacks, Modern office, Startup atmosphere, No dress code.
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