Data and AI ops Engineer

2 days ago

Kuala Lumpur, Kuala Lumpur, Malaysia Avows Technologies Sdn Bhd Full time 180,000 - 540,000 per year

Experience: 5 to 6 years

We are currently looking for one (1) Data and AI Ops Engineer, preferably local candidate but expat is also welcomed. We will review the submissions and respond within three weeks if the candidates are shortlisted. If you do not hear from us within this period, the profiles are considered not shortlisted.

1st priority- Malaysian profile, 2nd Expatriate in Malaysia

Education/Work Experience

· Bachelor's degree in Computer Science, Computer Engineering, Information Systems, Data Analytics or a related field, with at least 5 years of hands-on experience in data engineering, data integration, or analytics platform development, including a minimum of 4 years in designing and maintaining enterprise-grade data pipelines and solutions; OR

· Diploma in a relevant discipline, with a minimum of 5 years of practical experience in data engineering or related domains, including at least 4 years in a technical lead or senior engineering capacity, supporting cross-functional data initiatives and system integration efforts

Knowledge:

· Understanding of data architecture principles, including data modeling, pipeline design, ETL/ELT frameworks, and distributed data processing

· Has knowledge in enterprise data platforms and tools, at least in RDBMS. Knowledge in Azure Data Factory, Databricks, Power BI, and other modern analytics ecosystems is a plus.

· Familiarity with API-based integration and data exchange protocols (e.g., REST, SOAP, MQ), enabling seamless connectivity between systems and platforms

· Knowledge of cloud data services and infrastructure (e.g., Azure, AWS, GCP).

· Understanding of data governance, privacy, and compliance standards, including data lineage, access control, and audit readiness

· Awareness of AI and machine learning fundamentals, particularly in the context of chatbot development, predictive analytics, and model deployment

· Experience in business intelligence and reporting frameworks, enabling effective visualization, role-based access, and decision support

· Up-to-date perspective on emerging data technologies, trends, and best practices relevant to enterprise analytics and AI-driven solutions

Skills:

· Hands-on in design, build, and optimize scalable data pipelines to support analytics, reporting, and AI initiatives

· Hands-on in managing end-to-end data engineering workflows, including ingestion, transformation, validation, and orchestration across cloud and on-prem platforms

· Effective in supporting data operations and enhancement activities, ensuring data quality, availability, and performance for business-critical applications

· Good communication and interpersonal skills, with the ability to translate complex data concepts for technical and non-technical audiences

· Excellent in documenting data processes, producing technical specifications, and preparing stakeholder-facing reports in English

· Capable of collaborating within cross-functional teams, including developers, analysts, and business users, to deliver integrated data solutions

· Comfortable navigating dynamic environments, resolving data-related issues, and maintaining operational resilience under pressure

Job Types: Full-time, Contract

Contract length: 12 months

Pay: RM4, RM9,000.00 per month

Benefits:

  • Health insurance
  • Professional development

Work Location: In person

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