Cloud Data Engineer Job Description Template
Our company is looking for a Cloud Data Engineer to join our team.
Responsibilities:
- Configure AWS services for optimal performance and user experience;
- Guide users in their exploration of tools within the AWS stack;
- Develop and maintain data pipelines;
- Create and maintain adequate documentation for all Cloud architecture and processes;
- Query optimisation, database maintenance and data storage in AWS;
- Proactive monitoring and optimisation of solutions implemented;
- Enable automation of data migration and on-premise workloads;
- Recommend the appropriate AWS component based on compute, data, or security requirements;
- Design, develop and implement the best solution for solving a business use case using the most relevant tools available in the AWS technology stack;
- Develop and maintain data structures in AWS environment;
- Establish effective and collaborative partnerships within the BI Team as well as with relevant IT teams, particularly BI source system teams.
Requirements:
- Scripting languages: Python, SQL, JavaScript;
- Ability to work independently and in a collaborative environment with the existing Data Analytics team;
- Understanding of network technologies in a cloud environment;
- Proven track record of delivering BI technical solutions on large, enterprise BI projects;
- Analytical thinking and disciplined problem solving;
- Solid knowledge of AWS technologies and hands-on experience working with cloud technologies;
- Strong analytical mindset, ability to troubleshoot and investigate issues and propose workarounds/solutions;
- Strong self-organisational skills for managing time and work effort;
- Exceptional customer focus, with great communication skills;
- Proven track record of implementing innovative BI solutions leading to clear business benefits;
- Ability to work and act independently and as part of a team;
- Self-motivated with a can-do attitude;
- Ability to take ownership of issues, and see them through to completion;
- Proven application of Data Warehousing and BI best practices;
- Able to effectively participate in cross-team communication and cooperation.