Total 6 job vacancies by Devoteam

Your role 

In this context, you’ll be joining as Data Engineer, and reporting to the Tech Lead. As Data Engineer you will also be assisting cross-departments such as Marketing and Sales teams. The Data Engineer will complete routine data engineer work and oversee simple to complex projects of data migration, database migration, ETL Migration, and many more.

The Senior Data Engineer will be responsible for the following activities: 

• Work closely with data architects and other stakeholders to design scalable and robust data architectures that meet the organization's requirements
• Develop and maintain data pipelines, which involve the extraction of data from various sources, data transformation to ensure quality and consistency, and loading the processed data into data warehouses or other storage systems
• Responsible for managing data warehouses and data lakes, ensuring their performance, scalability, and security
• Integrate data from different sources, such as databases, APIs, and external systems, to create unified and comprehensive datasets.
• Perform data transformations and implement Extract, Transform, Load (ETL) processes to convert raw data into formats suitable for analysis and reporting
• Collaborate with data scientists, analysts, and other stakeholders to establish data quality standards and implement data governance practices
• Optimise data processing and storage systems for performance and scalability
• Collaborate with cross-functional teams, including data scientists, analysts, and business stakeholders, to understand data requirements and deliver solutions

The Cloud Engineer will be responsible for the following activities: 

• This position is a stakeholder-facing role and embodies the responsibility of capturing prioritization, and delivery of project expectations for all aspects of the projects you work on.
• You can lead technical customer workshops and design a solution meeting the customer requirements on all aspects of the project (Governance, Security, Networking, Billing, Operations).
• You are an advocate for Cloud adoption and enlighten customers in their Cloud Adoption strategy, no matter their Cloud Maturity.
• Excellent communication and interpersonal skills: you have the ability to communicate tasks, challenges, and results clearly to technical & non-technical colleagues and customers.
• Ability to understand both the business and technical requirements and apply to existing, or develop new methodologies to satisfy those requirements
• You understand both business and technical priorities and have a realistic view of timelines and deliverables.
• you are able to guide and streamline the technical tracks of a multidisciplinary team, composed of colleagues and customers.
• You advocate the use of Cloud best practices in all aspects of your job and the deliverables of your team.
• you mentor and guide junior colleagues through their journey in the team and within the projects you collaborate on.

The Machine Learning Engineer will be responsible for the following activities:

1. interpret our customers’ needs, and extract value from their data using GCP and its suite of tools
2. be involved in pre-sales activities as well as building upon our customers’ cloud infrastructure, creating analytics in the cloud
3. advocate for Google Cloud Platform and all of its products: Vertex AI, Cloud SQL, BigQuery, etc.
4. understanding the customer's requirements and suggesting a product or service accordingly
5. demonstrating the product and services
6. develop new products or integrations as required
7. undertake such duties and exercise such powers in relation to the Group Companies and its business as the Board shall from time to time assign to or vest in him;
8. in the discharge of such duties and in the exercise of such powers, observe and comply with all resolutions, regulations and directions from time to time made or given by the Company or the Board;
9. unless prevented by ill health or accident, devote so much of his time and attention and ability to the discharge of his duties hereunder;
10. in pursuance of his duties hereunder perform such services for any Group Company and accept such offices in such Group Company as the Board may from time to time reasonably require; and

In this context, you’ll be joining as Senior Google Workspace Engineer and reporting to the Indonesia Tribe Lead for Infrastructure. This role will be responsible for leading and advising on the design, implementation, and optimization of Google Workspace solutions for our clients. The ideal candidate possesses a deep understanding of Google Workspace, excellent communication skills, and a passion for helping clients achieve their productivity and collaboration goals..

The Senior Google Workspace Engineer will be responsible for the following activities: 

• Develop a deep understanding of clients' business needs, goals, and technical environments.

• Conduct thorough assessments of existing Google Workspace setups and identify areas for improvement.

• Design and propose tailored Google Workspace solutions that align with clients' strategic objectives.

• Clearly communicate technical recommendations and implementation plans to clients in a consultative manner.

• Lead the implementation and configuration of Google Workspace services, ensuring seamless integration with existing systems.

• Troubleshoot complex technical issues and provide expert guidance on Google Workspace best practices.

• Stay abreast of the latest Google Workspace updates and features to leverage new functionalities for clients.

• Develop and deliver training programs to empower clients in utilizing Google Workspace effectively.

• Manage Google Workspace projects from inception to completion, ensuring timely delivery and client satisfaction.

• Coordinate with internal teams and external stakeholders to ensure smooth project execution.

• Provide ongoing support and maintenance to clients after project completion.

In this context, you’ll be joining as Security Engineer and reporting to the Indonesia Tribe Lead for Infrastructure. This role will be responsible for designing, building, implementing, and maintaining the security systems and infrastructure that protect an organization's networks, systems, and data.

The Security Engineer will be responsible for the following activities: 

• Develop and implement security architectures, protocols, and procedures to safeguard digital assets.

• Conduct security assessments, vulnerability scans, and penetration testing to identify weaknesses in the organization's security posture.

• Respond to security incidents promptly, investigate their root cause, and implement measures to prevent future occurrences.

• Monitor networks and systems for suspicious activity and potential security breaches.

•  Educate employees about cybersecurity best practices and the importance of maintaining a secure environment.

• Ensure that the organization's security measures comply with relevant industry regulations and standards.

• Facilitate conflict resolution and decision-making effectively.

• Contribute to the continuous improvement of our project management processes and methodologies.

The Data Engineer will be responsible for the following activities: 

• Work closely with data architects and other stakeholders to design scalable and robust data architectures that meet the organization's requirements
• Develop and maintain data pipelines, which involve the extraction of data from various sources, data transformation to ensure quality and consistency, and loading the processed data into data warehouses or other storage systems
• Responsible for managing data warehouses and data lakes, ensuring their performance, scalability, and security
• Integrate data from different sources, such as databases, APIs, and external systems, to create unified and comprehensive datasets.
• Perform data transformations and implement Extract, Transform, Load (ETL) processes to convert raw data into formats suitable for analysis and reporting
• Collaborate with data scientists, analysts, and other stakeholders to establish data quality standards and implement data governance practices
• Optimise data processing and storage systems for performance and scalability
• Collaborate with cross-functional teams, including data scientists, analysts, and business stakeholders, to understand data requirements and deliver solutions