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Follow →Globe Telecom in the Philippines is seeking a Network Data Engineer to design and operate automated ELT/ETL pipelines that ingest network telemetry into the NTG Data Mart with high fidelity and low latency.
You will translate complex domain requirements into scalable data models (Star/Snowflake) and implement data quality, governance, and observability; enabling analysts with analysis-ready datasets and a transparent data catalog.
Designs and maintains ELT/ETL pipelines to feed a network data mart, ensuring high-fidelity data and robust quality checks for analytics-ready datasets.
Design and maintain automated ETL/ELT pipelines to ingest and transform network telemetry into an analytics-ready data mart, while enforcing data quality, governance, and observability.
Lead cross-functional teams to design, build, and maintain automated data pipelines and scalable platforms using Spark, Airflow, dbt, Snowflake, and Databricks.
Build and maintain scalable data pipelines and the data warehouse for a telecommunications company.
Designs and maintains scalable ETL/ELT pipelines, data warehouses, and lakes to feed analytics and BI systems, ensuring high data quality and governance.
Designs and builds scalable Azure data pipelines and ETL processes to enable data-driven decision-making using Azure data services.