Data Engineer - Managed Services

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