Hybrid Data Ops Engineer

Posted 2 weeks ago

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About the role

  • Productionize and maintain data pipelines to ensure data quality and operationalization.
  • Be at the centre of the build of the company's new data platform, which includes Data Lakes in AWS and Data Warehouses with cutting-edge tools and technology.
  • Evangelize and continuously improve the company's DataOps capabilities.
  • Ensure that all data products and projects are designed, delivered, and supported according to business requirements.
  • Collaborate with cross-functional teams to understand and interpret business requirements and translate them into technical solutions.
  • Implement and maintain processes for data quality, data validation, and data governance.
  • Monitor and maintain the performance and reliability of data pipelines and data systems.
  • Investigate and troubleshoot data issues and implement solutions to resolve them.
  • Continuously improve the data operations processes and tools to ensure scalability and efficiency.
  • Act as a subject matter expert and provide guidance to other teams on best practices for data operations.

Requirements

  • Experience with AWS cloud services and Data Lakes, Snowflake, and other data warehousing technologies
  • In-depth understanding of data pipeline architecture and data modelling practices
  • Understanding of data governance and data security practices
  • Knowledge of data-driven analytical and reporting activities
  • Understanding of the impact of changes to business rules on data processes
  • Strong knowledge of SQL and scripting languages (e.g. Python, Bash)
  • Experience with Infrastructure as Code, including a working knowledge of Terraform
  • Familiarity with CI/CD driven data pipeline and infrastructure

Benefits

  • Flexible work arrangements

Job title

Data Ops Engineer

Job type

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

Bachelor's Degree

Location requirements

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