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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.

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