Job Description


  • Minumum 5 years of experince in Data Engineering.
  • Design, develop, and maintain robust data pipelines in Hadoop and related ecosystems, ensuring data reliability, scalability, and performance.
  • Implement data ETL processes for batch and streaming analytics requirements.
  • Optimize and troubleshoot distributed systems for ingestion, storage, and processing.
  • Collaborate with data engineers, analysts, and platform engineers to align solutions with business needs.
  • Ensure data security, integrity, and compliance throughout the infrastructure.
  • Maintain documentation and contribute to architecture reviews.
  • Participate in incident response and operational excellence initiatives for the data warehouse.
  • Continuously learn mindset and apply new Hadoop ecosystem tools and data technologies.




Requirements

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