Hadoop Data Platform Architect

1 week ago


Kraków, Lesser Poland, Czech Republic beBeeData Full time

Global Data Platform Engineer Opportunity

We are seeking an experienced Global Data Platform Engineer to join our team. This is a unique chance to work on large-scale, distributed data processing pipelines using Hadoop and Spark in the Google Cloud Platform environment.

Job Description:

This role involves designing and building scalable data solutions, developing and maintaining ETL/ELT workflows, and working with structured and semi-structured data using BigQuery and PostgreSQL.

Required Skills and Qualifications:
  • Data Engineering Expertise: Strong understanding of Hadoop, Hive, HDFS, Apache Spark, Scala, and SQL.
  • Cloud Computing Experience: Solid experience with GCP services like BigQuery, Dataflow, DataProc, Pub/Sub, and Cloud Storage.
  • DevOps and Automation: Hands-on expertise in CI/CD processes and DevOps tools like Jenkins, GitHub, and Ansible.
  • Collaboration and Communication: Ability to collaborate with architects, analysts, and product teams in Agile/Scrum setup.
Benefits:
  • Hybrid Work Model: Opportunity to work from the office (2 days a week) or remotely.
  • International Team Collaboration: Chance to join an international team and contribute to global-scale projects.
Others:

This position requires strong data architecture and engineering skills, experience working in enterprise environments, and familiarity with Agile methodologies like Scrum or Kanban. If you have a passion for cloud-native data solutions and modern tech stacks, we encourage you to apply.



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