Big Data Solutions Specialist @ Britenet
(práce v Polsku)

Big Data Solutions Specialist @ Britenet

Polsko

• Minimum 6 years of professional experience in the Big Data domain, with a strong focus on designing and implementing large-scale solutions
• Advanced knowledge of Big Data technologies (eg., Hadoop, Apache Spark, Kafka, Flink, Hive, HBase)
• Proficiency in programming with Python or 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 junior team members
• Ability to create technical documentation and effectively communicate with both technical and business stakeholders
• Fluent English (C1 level)

We are looking for an experienced Big 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.

The ideal candidate should also have experience in pre-sales activities, including preparing cost estimates and collaborating with the sales team.

,[Design, develop, and implement advanced Big 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, Monitor and maintain Big Data 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 organizations data platform development] Requirements: Hadoop, SQL, Python, NoSQL, Airflow, Docker, Kubernetes, Hive, Kafka, AI, presales Additionally: Sport subscription, Private healthcare, International projects, Free coffee, Canteen, Playroom, Free snacks, Modern office, No dress code.

Kategorie

data

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