Business Intelligence DevOps Engineer
hace 2 meses
**Job Summary**:
The Business Intelligence DevOps Engineer will be part of the Performance and Productivity team supporting the reporting needs of various business units throughout Thermo Fisher Scientific.
This is a global role working across our Shared Services Centers in multiple locations.
The objective is to help prepare Thermo Fisher Scientific to effectively & efficiently scale up to the company's vision of becoming a leading global biotechnology company.
**Key Responsibilities**:
**BI Infrastructure Management**:
Maintain, configure, and optimize Business Intelligence tools, including data warehouses, ETL pipelines, reporting platforms, and visualization tools.
Ensure high availability and performance of Business Intelligence systems through proactive monitoring and troubleshooting.
**Automation and Scripting**:
Develop and maintain automation scripts and tools to streamline Business Intelligence processes, deployments, and data workflows.
Implement infrastructure as code (IAC) principles to manage and version control infrastructure components.
**CI/CD Implementation**:
Establish and manage continuous integration and continuous deployment (CI/CD) pipelines for Business Intelligence projects, ensuring a smooth development-to-production process.
**Performance Optimization**:
Identify and address performance bottlenecks in Business Intelligence systems, optimizing queries, data pipelines, and data storage.
**Collaboration**:
Work closely with Data Engineers, Data Analysts to understand their requirements and provide technical solutions.
Collaborate with IT and DevOps teams to align Business Intelligence infrastructure with broader company infrastructure standards.
**Documentation**:
Maintain clear and up-to-date documentation for Business Intelligence infrastructure, processes, and procedures.
**Requirements**:
Bachelor's degree in Computer Science, Information Technology, or a related field.
3+ years of experience in Business Intelligence DevOps or a similar role.
Proficiency in Business Intelligence tools such as Power BI or similar.
Strong knowledge of data warehousing concepts, ETL processes, and SQL.
Experience with scripting languages (e.g., Python, Bash) and automation tools (e.g. Power Automate).
Familiarity with version control systems (e.g., Git) and CI/CD pipelines.
Understanding of cloud platforms (e.g., AWS, Azure, GCP) is a plus.
Excellent problem-solving and communication skills.
Ability to work in a collaborative, cross-functional team environment.
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