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Data Engineer - Managed Services at Axiata Digital Labs

Kuala Lumpur, Kuala Lumpur, Malaysia -

Full Time

Start Date

Immediate

Expiry Date

17 May, 26

Salary

0.0

Posted On

16 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Models, Data Lakes, Data Warehouses, Lakehouses, Data Quality Checks, Data Privacy, Metadata Management, Data Pipelines, SQL, NoSQL, Cloud Data Platforms, Snowflake, BigQuery, Databricks, Hadoop, Real-Time Processing

Industry

IT Services and IT Consulting

Description

Key Responsibilities 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) Person Specifications 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 skills Vendor submissions - 12 months

Responsibilities

The role involves developing and maintaining various data models, working across data lakes, warehouses, and lakehouses while implementing data quality checks and ensuring regulatory compliance. Responsibilities also include monitoring and tuning data pipelines for performance and meeting data service level agreements.