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Accountabilities:
- Leading a team of data engineers while actively contributing to the design and development of advanced data pipelines.
- Architecting, implementing, and optimizing large-scale streaming and batch data solutions using technologies such as Kafka, Spark, and Hadoop.
- Managing the deployment, monitoring, and optimization of data infrastructure to ensure performance, reliability, and scalability.
Requirements:
- 6+ years of professional experience in data engineering, including recent experience leading technical teams.
- Strong expertise in Apache Kafka, Apache Spark, and Hadoop ecosystems.
- Hands-on experience designing and maintaining scalable data pipelines and distributed processing systems.
Benefits:
- Fully remote work opportunity.
- Competitive compensation package paid in foreign currency.
- Regular training and professional development opportunities.
Partner Company
The company is a technology-focused organization that builds scalable data platforms. It offers a fully remote work environment with a collaborative culture and international teams.