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Data DevOps Engineer Platforma de Date
4 weeks ago
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  • Domain
  • Availability Full-time
  • Experience Mid Level
  • Type of contract Nedeterminat
  • Location Bucuresti
  • Salary To be determined

Job Summary: Raiffeisen Bank invites applications for the position of Data Engineer, a role central to the enhancement and maintenance of our data infrastructure, which supports critical AI-driven initiatives. This position requires collaboration with ML Engineers, MLOps, and DevOps teams to develop and maintain efficient data pipelines for AI applications and to continuously improve our data technology stack. 

Key Responsibilities: 

  1. Design, build, and maintain scalable data pipelines using Apache Spark and Apache Airflow within our Hadoop big data environment. 
  2. Collaborate closely with the AI team to transition data pipelines into production, ensuring they are optimized for AI and machine learning workflows. 
  3. Implement and manage data solutions using various tools such as Presto, Livy, Doris, Hudi, Neo4j, and Kafka. 
  4. Enhance and optimize the big data cloud solutions, particularly Databricks, and manage traditional database systems like PostgreSQL. 
  5. Maintain and administer Hadoop Big Data environments and tech stack, ensuring systems are secure and performant. 
  6. Document all processes and systems configurations to ensure best practices and continuity across the IT infrastructure. 

Required Qualifications: 

  1. Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field. 
  2. Proven expertise in managing Hadoop clusters and developing data pipelines with Spark and Airflow. 
  3. Proficiency in Linux with a strong grasp of shell scripting and system management. 
  4. Experience with cloud-based big data solutions, notably Databricks. 
  5. Strong understanding of networking fundamentals. 
  6. Excellent problem-solving skills and the ability to collaborate effectively across various teams. 
  7. Certifications related to big data technologies, cloud data platforms, or Linux administration. 

Preferred Skills: 

  1. Prior experience in deploying AI and machine learning models in production environments. 
  2. Practical knowledge of additional data management tools such as Presto, Livy, Doris, Hudi, Neo4j, and Kafka, constitute an advantage 

  • Colaborare
  • Responsibilitate
  • Invatare
  • Proactivitate
  • Diversitate
  • Tichete de masa
  • Al 13-lea salariu
  • Munca de acasa
  • Pensie privata
  • Asigurare de sanatate
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