DataOps Engineer

Mid-level
🇭🇺 Hungary
 

With Us You Will

  • Data Pipeline Management: Design, develop, and maintain scalable data pipelines to support business intelligence and reporting needs.
  • ETL Implementation: Develop ETL processes to extract, transform, and load data from various sources into operational data stores while ensuring data integrity and consistency.
  • Data Modeling: Design and implement data models, schemas, and dimensional models to support analytical reporting and ad-hoc queries.
  • Data Governance: Implement and enforce data governance policies and procedures within the data operations environment to ensure data quality, compliance, and security standards are upheld.
  • Documentation and Collaboration: Document data operations processes, data flows, and system architectures. Collaborate with cross-functional teams to drive data-driven decision-making and enhance data accessibility and usability.
  • Operational Monitoring: Monitor data pipelines and workflows to ensure optimal performance, identifying and resolving issues promptly to maintain operational efficiency and reliability.

Requirements

What We Expect From You

  • Infrastructure Automation: Design, develop, and maintain scalable data pipeli...
 

 

Docler Holding

Docler Holding

Unique, exciting, fun-loving, and fast-growing company offering entertainment products and services to millions of users worldwide.

Entertainment
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