Data Engineer Managed Services

Kuala Lumpur - Malaysia

Monthly Salary: Not Disclosed

Posted on: 2 hours ago

Vacancies: 1 Vacancy

Job Summary

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

Key ResponsibilitiesDevelop 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 (GD...