Data Engineer - Analytics Support

Job Accountabilities :

Data Solution (DS) plays a critical role in enabling data-driven decision-making across XLSMART by transforming complex business requirements into reliable, high-quality data assets.
The role is responsible for assessing business needs and executing end-to-end data transformation processes, ensuring data from multiple sources is integrated into a standardized, consistent, and trusted enterprise view that supports strategic analysis, operational efficiency, and business growth.

DS will collaborate closely with cross-functional stakeholders, including the Data Governance & Architecture Team, Analytics & AI Team, Core & IT System Team, Service Operation Management Team, and Business Units, to design and deliver scalable, sustainable, and high-performance data pipelines.
These solutions will support key strategic initiatives, cross-functional task forces, and business-as-usual (BAU) operations while strengthening the organization's overall data ecosystem.

The scope of the DS role includes Data Profiling, Data Mapping, Data Transformation, Data Quality Assurance, Data Documentation, and Reporting, with a strong focus on ensuring data accuracy, integrity, accessibility, and business value realization across the enterprise.

Technical Capabilities :

• 2 - 5 years' experience in Data Engineering or Digital & High Technology roles.
• Experience designing data pipelines, integration, metadata, and master data management.
• Experience implementing cloud solution, big data strategies, data integration framework, and best practices in practical ways.
• Technical competency and experience working with:
  • Cloud Platform: AWS (S3, Athena, Redshift, EMR, Lambda, Glue), GCP (BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Composer)
  • Data Platform: Snowflake, Tencent Data Lake Compute (DLC) (optional)
  • Code Languages: Python, Java, REST API, Ab Initio (optional) or similar tooling for data engineering & big data.
  • Operating Systems: Unix, RedHat, Linux
  • Network Protocol: SCP, SFTP, FTP, SSH
  • Format Messages: Text, XML, JSON, Protobuf
  • CI/CD Tool
  • Data Visualization: PowerBI, Tableau (optional)
• Ability to communicate and influence at leadership level with gravitas and conviction.
• Ability to explain complex concepts and present integrated data to the non-technical stakeholders.
• Ability to embrace and adapt changes in a dynamic environment.
• Experience in telecommunication is highly desirable.
   

Education : 

    Bachelor’s Degree (S1) in Computer Science, Information Technology, Engineering, or a related technical field.