Java & Data Architect @ Britenet

5 days ago

Kielce Poznań Lublin Białystok Warszawa, Czech Republic Britenet Full time

Minimum 6 years of professional experience in the Data domain, with a strong focus on designing and implementing large-scale solutions Advanced knowledge of Data technologies (eg., Hadoop, Apache Spark, Kafka, Flink, Hive, HBase) Proficiency in programming with Java Familiarity with NoSQL databases (e.g., Cassandra, MongoDB) and relational databases Experience working with cloud platforms 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 team members Ability to create technical documentation and effectively communicate with both technical and business stakeholders Fluent English (C1 level) Mile widziane Python development experience Experience in BI products and solutions We are looking for an experienced Java & Data Architect who will play a key role in the design, development, and oversight of data platforms. We seek someone who can combine a strategic approach to data architecture with hands-on expertise in technologies and tools—and who understands how these technologies support business decision-making. ,[Team leadership, mentoring and technical support for team members, Design, develop, and implement advanced Data solutions, Analyze business and technical requirements and translate them into scalable and efficient data processing solutions, Select and integrate appropriate tools and technologies, Optimize data pipelines for performance and reliability, Observe and support data infrastructure maintenance, ensuring high availability, scalability, and security, Create technical documentation, presentations, and reports for business and technical stakeholders, Actively participate in the strategic planning of the organization's data platform development] Requirements: Java, Data, Hadoop, Apache Kafka, Apache Spark, NoSQL, Cassandra, MongoDB, Relational databases, Apache Airflow, Docker/Kubernetes, Python, BI Products

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