Data & AI Ops Engineer (1-Year Contract)
2 days ago
About the Role
We are seeking a Data & AI Ops Engineer to design, build, and maintain robust data pipelines and integration frameworks that support analytics, reporting, and AI initiatives across the organization. This role is ideal for a hands-on data professional who enjoys optimizing performance, ensuring data quality, and enabling data-driven decision-making across multiple business systems.
What You'll Do
- Design and develop end-to-end data pipelines and integration workflows to support analytics and operational systems.
- Ensure data accuracy and consistency through validation, cleansing, and transformation processes.
- Collaborate with developers and analysts to define requirements and deliver aligned data solutions.
- Optimize data storage and retrieval performance across cloud and on-prem platforms.
- Support deployment and enhancement of data models, APIs, and ETL/ELT frameworks in line with architectural and governance standards.
- Monitor and resolve data-related Incident and Service Requests (IR/SR) in accordance with SLAs.
- Document data flows, schemas, and integration logic for audit, compliance, and knowledge sharing.
- Participate in data-centric IT projects, ensuring alignment with business and technical goals.
- Stay current on emerging data technologies and best practices to continuously enhance efficiency.
What We're Looking For
- Bachelor's Degree in Computer Science, Computer Engineering, Information Systems, Data Analytics, or related field.
- Minimum 6 years' hands-on experience in data engineering, integration, or analytics platform development (3+ years in enterprise-grade solutions); OR
- Diploma with at least 8 years of practical experience, including 4 years in a senior or lead data engineering role.
- Strong knowledge of data architecture, modeling, ETL/ELT frameworks, and distributed processing.
- Hands-on experience in RDBMS; knowledge in Azure Data Factory, Databricks, Power BI is an advantage.
- Familiar with API-based integration (REST, SOAP, MQ) and cloud data services (Azure, AWS, GCP).
- Understanding of data governance, security, and compliance standards.
- Awareness of AI and ML fundamentals, including chatbot development and predictive analytics.
- Experience in business intelligence and reporting frameworks.
- Strong documentation and communication skills in English.
- Able to work effectively in cross-functional teams and dynamic environments.
Job Types: Full-time, Contract
Contract length: 12 months
Pay: RM8, RM10,000.00 per month
Benefits:
- Additional leave
- Maternity leave
- Opportunities for promotion
- Parental leave
- Professional development
Work Location: In person
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