Working timezone: Malaysia timezone 9am - 6pm (Flexible working)
Job Responsibility:
Plan, implement and maintain the company's data platform and solutions.
Design, build and automate modern data pipelines and data streams.
Develop and maintain data models and schemas that facilitate data integration and analysis.
Implement effective metrics, monitor, and proactively optimize ETL/ELT process performances, troubleshoot issues, and implement improvements to enhance data process efficiency in the data lifecycle.
Collaborate with data analysts, data stewards and business stakeholders to understand their data requirements and translate them into technical specifications.
Evaluate the performance and applicability of data tools against user requirements.
Job Requirement:
Degree holder in Computer Science, Information Technology, or relevant disciplines.
At least 5 years of experience in data engineering.
Proficiency level of SQL is a must.
Solid experience in Azure Databricks or Synapse, a Certified Azure Data Engineer Associate is an advantage
Hands on experience in programming languages for data engineering (e.g., PySpark, Python, R, Java, Scala).
Experience in designing and deploying data applications on cloud solutions, such as Azure.
Possess excellent problem-solving skills and data-driven thinking capabilities.
Ability to work independently and as a member of self-motivated team.
Good communication in both written and spoken English.
Willingness to travel, as needed
High-energy, a proactive adaptive problem solver, organized, flexible and comfortable navigating through ambiguity
