Data DevOps Consultant

Job Advertisement

Position Title: Data DevOps Consultant
Location: Beijing
Country: China
Deadline Date: No Value

Job Details

Job Posting Organization:
The organization is focused on enhancing data platforms and DevOps practices to meet business needs. It operates in the field of data management and technology, aiming to provide robust solutions for data integration, distribution, and operational support. The organization is committed to continuous improvement and innovation in data services, ensuring that their platforms align with the evolving demands of the business environment.

Job Overview:
The Data DevOps Consultant position is designed to support the ongoing activities related to a data platform that has already been established. The role emphasizes continuous development and delivery solutions, particularly in the context of Azure Cloud-based projects. The consultant will be responsible for providing technical support, troubleshooting issues, and optimizing processes to ensure that the data platform meets the growing business needs. This position requires a proactive approach to problem-solving and collaboration with various stakeholders, including data analysts and vendor development teams. The consultant will also be expected to develop quick data pipelines for exploratory analysis and maintain comprehensive documentation of system architecture and processes.

Duties and Responsibilities:
The consultant will have a range of responsibilities, including but not limited to: providing technical support for Azure Cloud-based data platform projects, utilizing services such as Azure Data Factory (ADF), Synapse, SQL Server, Data Lake, and Azure Functions; supporting data analysts in exploratory data analysis and developing quick data pipelines to test various business scenarios; troubleshooting and resolving issues related to data ingestion, transformation, and storage processes; collaborating closely with the vendor development team to identify and resolve bugs and operational issues; offering recommendations to enhance system performance and optimize processes; and developing and maintaining documentation on system architecture, technical design, processes, and procedures.

Required Qualifications:
Candidates must possess a Bachelor's degree in Computer Science, Information Engineering, or a related field. A strong foundation in data warehouse and database design is essential, along with knowledge of relational database management systems (RDBMS) such as SQL Server, MySQL, or PostgreSQL. Proficiency in ETL tools is required, with familiarity in tools like SSIS, Azure Data Factory, or Pentaho being advantageous. Experience with cloud platforms, particularly Azure and AWS, is necessary, along with familiarity with Azure DevOps, Key-vault, App Service, Data Lake, and Azure Data Factory. Advanced SQL knowledge and experience in query authoring are also required. Additionally, familiarity with .Net language and the .Net development framework is considered a plus.

Educational Background:
A Bachelor's degree in Computer Science, Information Engineering, or a related field is required for this position. This educational background provides the foundational knowledge necessary for understanding complex data systems and technologies, which is crucial for the role of a Data DevOps Consultant.

Experience:
Candidates should have substantial experience in data warehouse and database design, as well as practical experience with ETL tools and cloud platforms. The role requires a strong understanding of relational databases and the ability to troubleshoot and resolve technical issues effectively. Experience working in a collaborative environment with vendor teams and data analysts is also important, as the consultant will need to communicate effectively and work towards common goals.

Languages:
While the job description does not specify mandatory languages, proficiency in English is typically expected in international roles, especially in technical fields. Knowledge of additional languages may be beneficial but is not explicitly required for this position.

Additional Notes:
The job posting does not specify details regarding contract duration, seniority level, or whether the position is full-time or part-time. There is also no mention of compensation or benefits. The lack of a specified application deadline suggests that candidates may apply until the position is filled, but this should be confirmed with the organization.