Top Data Engineer Jobs in Caloocan

Develop, deploy, and maintain LLM pipelines and RAG QA/search systems; design and optimize prompts and multi-agent LLM architectures; operate multi‑GPU/cluster inference; build evaluation pipelines for model quality, bias, and hallucination; collaborate with product and CS teams to integrate conversational AI.

Lead Data Engineer to design, build, and maintain scalable ETL pipelines and cloud data platforms, optimize data models/warehouses, ensure data quality and governance, and collaborate with analytics and business teams.

Monitor daily data intake across channels, perform QA to detect inconsistencies or unusual trends, troubleshoot ingestion issues, document findings, and propose process/product improvements while working scheduled shifts.

Operate, monitor and improve production DataOps/ETL workloads for SLHK: manage enterprise schedules and SLAs, lead incident response, execute controlled changes, run data quality checks with evidence, maintain runbooks, and publish/automate service reporting.

Design, develop, and maintain data solutions and applications, ensuring data quality and performance while collaborating with cross-functional teams.

Hands-on APAC-focused database engineer responsible for administering and optimizing enterprise Oracle and multi-database platforms across OCI and AWS. Duties include migrations, patching, backup/recovery, HA/DR, performance tuning, automation (IaC/CI-CD), monitoring, incident resolution, and collaboration with global teams to ensure service reliability and operational excellence.

Lead design and optimization of scalable ETL/data pipelines across on-premise and cloud environments, implement Microsoft Fabric solutions, build Power BI reports and unified data models, manage integrations and migrations (including Dynamics/Dataverse), ensure data quality/security/governance, troubleshoot and automate workflows, engage customers for requirements and delivery, and mentor team members.

Lead design, implementation and optimization of data infrastructure and scalable ETL pipelines across Microsoft Fabric, on-premise SQL, and Dynamics 365. Ensure data quality, governance, security, and unified data models. Build Power BI dashboards and analytical models, manage migrations and integrations, troubleshoot complex issues, document solutions, mentor team members, and drive platform adoption and best practices.

Hands-on senior data engineer role building and operating client-specific ELT pipelines and three-layer dbt projects on cloud warehouses (pref. BigQuery). Own pipeline operations, reconciliation and testing, semantic layer/metric definitions (Cube.dev), freshness/anomaly monitoring, PII-aware quality frameworks, and translate client domain discovery into reliable business marts to power dashboards and AI queries.

Own quality for the Data Platform and Analytics products by validating pipelines, warehouse models, and reports. Write SQL to reconcile reports with raw sources and upstream APIs, build automated data quality checks (Soda), test Airflow DAGs and Databricks jobs, develop API tests for REST/GraphQL, and collaborate with Engineering, Product, and Analytics to document findings and prevent defects.