DataOps Engineer developing customer-centric data solutions for Collinson. Focusing on data pipelines, quality, and governance in collaboration with cross-functional teams.
Responsibilities
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
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