Data Platform Architect
1 week ago
We are seeking a highly skilled System Architect to join our team. This is an exciting opportunity for a talented individual to design and develop scalable data management architectures, infrastructure, and platform solutions for streaming and batch processing using Big Data technologies like Apache Spark, Hadoop, Iceberg.
As a System Architect, you will have the chance to work on challenging projects across various industries, leveraging cutting-edge technologies. Your expertise in designing and implementing data governance and data management processes will be invaluable to our team.
- Design and Develop Scalable Data Management Solutions: Create efficient data management architectures, infrastructure, and platform solutions for streaming and batch processing using Big Data technologies like Apache Spark, Hadoop, Iceberg.
- Implement Data Governance Processes: Design and implement data governance and data management processes and best practices.
- Collaborate with Data Science Team: Contribute to the development of CI/CD and MLOps processes, working closely with the Data Science team on data analysis and Machine Learning projects, including text/image analysis and predictive model building.
- Develop Data Transformations: Develop and organize data transformations using DBT and Apache Airflow.
- Programming Skills: Strong programming skills in Python and Java/Scala, with experience in writing clean code and OOP design.
- Big Data Technologies: Experience in designing and implementing data governance and data management processes, familiarity with Big Data technologies like Spark, Cloudera, Airflow, NiFi, Docker, Kubernetes, Iceberg, Trino or Hudi.
- Cloud Environments: Proven expertise in implementing and deploying solutions in cloud environments, preferably AWS.
- Communication Skills: Excellent communication skills and consulting experience with direct interaction with clients.
- Education: Master's or Ph.D. in Computer Science, Data Science, Mathematics, Physics, or a related field.
- Language: Fluent English (C1 level) is a must.
- Career Growth: Accelerate your professional growth through career paths, knowledge-sharing initiatives, language classes, and sponsored training or conferences.
- Flexible Work Arrangements: Enjoy flexible work arrangements, allowing you to work remotely or from modern offices and coworking spaces.
- Benefits: Private healthcare, multisport card, referral bonus, MyBenefit cafeteria, international projects, flat structure, paid leave, training budget, language classes, team-building events, small teams, flexible form of employment, flexible working hours, and remote work possibility.
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