Job Description

Your Responsibilities:

(What is this role all about? What does the applicant have to do?)

Develop and maintain data models (customer 360, product, network, usage).

Work with data lakes, warehouses, and lakehouses (e.g., Hadoop, Snowflake, BigQuery, Databricks).

Implement data quality checks (deduplication, validation, reconciliation).

Enforce data privacy and regulatory compliance (GDPR, PDPA, CCPA, telco-specific regulations).

Support metadata management and cataloguing for discoverability and governance.

Partner with data scientists and analysts to provide clean, reliable data

Monitor and tune pipelines for latency and throughput (batch + real-time).

Ensure data SLAs (availability, freshness, accuracy) are met.

Troubleshoot and resolve data pipeline issues quickly

Evaluate and adopt emerging data technologies (real-time processing, AI-driven data ops).

Automate repetitive engineering tasks (deployment, testing, monitoring).

Contribute to data platform architecture evolution (cloud migration, microservices, event-driven design)

Your Merits:

Respective degrees relating to Business Studies, Engineering or IT.

Preferred 5 - 10 years working experience as Data engineering, preferably in the telecommunication environment.

Strong business acumen and technical/solution understanding

Certification in CDMP (Certified Data Management Professional) is an added advantage.

Skilled in handling huge datasets like Call Detail Records (CDRs), and network logs

Strong in SQL, NoSQL, and cloud data platforms (Snowflake, BigQuery, Databricks, Hadoop).

Excellent communication (written and oral) and interpersonal

Job Types: Permanent, Contract
Contract length: 12 months

Pay: RM4,048.88 - RM8,000.00 per month

Experience:

Data engineering: 5 years (Required) telco industry working: 1 year (Required)
Work Location: In person