Data Engineer
Thakral One, Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia
Responsibilities
- Design, develop, and maintain data pipelines using Airflow
- Build modular and incremental data flows that allow efficient refresh cycles and minimize redundant runs
- Collaborate with cross‑functional teams to integrate AI / ML models into production data environments
- Develop ETL / ELT workflows to ingest and transform data from multiple telecom and operational systems
- Ensure data quality, version control, and governance through consistent documentation and reusable components
- Participate in troubleshooting and optimization of data processes to ensure reliability, scalability, and performance
- Contribute to domain logic validation in partnership with business and analytics teams
Skills / Experience
3–7 years of hands‑on experience in data engineering or related rolesStrong proficiency in Python, SQL, and modern data frameworks (e.g., Airflow, Spark)Working knowledge of the Azure data ecosystem (Data Factory, AzureML, Synapse, Blob Storage, Azure SQL, etc.)Familiarity with AWS services (S3, ECS, RDS, EC2)Experience designing incremental and modular data pipelines and integrating APIs or external data sourcesStrong understanding of data governance, versioning, and access management practicesExcellent problem‑solving skills, structured thinking, and strong communication abilities#J-18808-Ljbffr