Life at U Mobile
We are Passionate, Innovative, Trustworthy, Team-Oriented & Fun-Loving.
At U Mobile, we are always on the lookout for great talents and passionate individuals to join our growing team.
Let's start your journey with an award-winning organization!
#UnbeatableCareerAwaits
Top Reasons To Join Us!
- Awarded For
- Most Preferred Employers in Telecommunication Industry (2022, 2023 & 2024)
- Bronze Winner in Cross-Generational Workforce Engagement (2024)
- Gold Winner for Excellence in Workplace Culture (2021)
- Comprehensive medical, dental, optical and insurance benefits
- Flexi working hours arrangements
- Staff Line & Device Subsidy
- Smart Casual Attire
- Child Parental Care Leave
- Convenient location with access to public transport (Imbi Monorail/Bukit Bintang MRT)
- Special employee discounts for selected F&B Brands
Role
The Day-To-Day Activities
DSCVM - Data Engineering Trainee
The role will involve developing and managing data ingestion processes, including Extract, Transform, Load (ETL) operations, to ensure data accuracy, accessibility, and scalability.
- Build and maintain data pipelines to ensure seamless data flow from various sources to the storage systems
- Manage and optimize databases to support data storage and retrieval. This involves ensuring data integrity and performance.
- Provide technical support to data scientists and analysts by preparing and optimizing data sets for analysis.
- Implementation of strict data policies and oversight mechanisms to ensure data security, compliance, and quality especially for PII information. Always comply to PDPA.
- Work with different teams to understand data needs and contribute to the development of data solutions.
- Manage the lifecycle of data in a big data platform, archiving and purging data according to defined policies
- Documented and updated the DE team's data glossary and catalogue.
About You
- Degree in Computer Science / IT / Electrical & Electronic / Telecommunication / Mathematics / Economics / Physics or equivalent.
- Basic understanding of data processing and ETL (Extract, Transform, Load) operations.
- Experience in programming languages such as Python, Java, or Scala.
- Familiarity with database technologies like SQL, NoSQL, and data warehousing solutions.
- Exposure to big data technologies such as Hadoop, Spark, or Kafka.
- Knowledge of data modeling and the ability to design data schemas.
- Understands and executes predefined campaign strategies within the Campaign Management System
- Able to analyze & troubleshoot data issues and optimize data flows.
- Ability to work with data scientists and analysts to support data needs.
- Must possess team spirit, positive attitude, excellent interpersonal skills, communication and initiative to learn.
- Minimum CGPA : 3.2
What's Next Once you have applied online, our team will review your application and due to a high volume of applications, only shortlisted candidates will be notified.
