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Sr. Data Engineer (Snowflake)
Build and optimize cloud data pipelines and warehouses (Snowflake/BigQuery) to power AI-driven analytics and BI for global consumer brands.
Azure Databricks Data Engineer
Build and optimize large-scale data pipelines using Scala, Python, PySpark, and Databricks on Azure, designing cloud-native data architectures for enterprise clients.
Senior Data Engineer (Airflow)
Build and maintain Airflow-based data pipelines and orchestrations for a large insurer, using Python, Snowflake, and AWS services.
PH - Engineering Consultant (Data Engineering)
Build and secure data pipelines and warehouses for clients, then deploy ML models. Work with Python, SQL, Airflow, cloud platforms (AWS/GCP), and tools like BigQuery and Snowflake.
Cloud Data Engineer
Build and maintain cloud data pipelines in Python, integrating APIs and AWS services to feed analytics and operational systems with clean, test-driven code.
HCHP: Senior Data Engineer
Design and build scalable cloud-native data pipelines and analytics-ready datasets using Azure, Databricks, PySpark, and Delta Lake to support enterprise reporting and analytics.
Data Engineer Team Lead
Leads a team that builds and maintains scalable data pipelines and warehouses (Snowflake, Redshift) to feed analytics and reporting for a Philippine bank.
Senior Data Engineer / ML Platform
Build and scale a cloud-native data platform on AWS to power real-time recommendations and analytics for Europe’s leading brands.
Data Engineer (Trade Surveillance)
Build and maintain data pipelines for trade and communications surveillance, ensuring regulatory compliance and data quality across AWS infrastructure.
Senior Data Engineer Bilingual
Designs and maintains scalable data pipelines and cloud-based data solutions to support analytics, reporting, and machine learning initiatives using Python, SQL, and cloud platforms like AWS/Azure/GCP.
Senior Data Engineer (MSP)
Build and maintain cloud-native AWS data platforms, ETL/ELT pipelines, and data lakes to support analytics and BI use cases.
Data Engineer: Build Scalable Pipelines for Analytics
Designs and maintains scalable data pipelines and ETL/ELT processes using Spark, Airflow, and dbt to support analytics and business intelligence.
Data Engineer: Python Pipelines, Airflow & AWS
Build and maintain Python-based ETL pipelines using Airflow and AWS, optimizing SQL for Snowflake and ensuring data quality with dbt tests.
Data Engineering Lead: Scale Pipelines & Guide the Team
Lead a team to build and maintain data pipelines for a Philippine bank using Airflow, DBT, and modern warehousing to ensure reliable analytics and reporting.
Senior Data Engineer (Hybrid Setup)
Build and maintain scalable, real-time data pipelines on AWS and Databricks using Kafka, Spark, Flink, and Airflow, ensuring high-throughput data processing and quality.
Senior GCP Data Engineer: Pipelines & Real-Time Data
Senior Data Engineer builds and optimizes GCP pipelines—batch and real-time—using BigQuery, Spanner, Airflow, and Dataflow to ensure reliable data ingestion and processing.
Sr. Data Engineer
Builds and maintains automated data pipelines using Spark, Kafka, Airflow, and cloud platforms like Azure or AWS to integrate and process large-scale data for AI-driven analytics.
Senior Data Engineer
Senior Data Engineer builds and scales real-time data pipelines on AWS to process grid sensor data, enabling utilities to meet rising electricity demand from AI data centers and electrification.
Data Engineer Team Lead
Lead a team that builds and maintains scalable data pipelines and warehouses for a Philippine bank, using Python, SQL, Snowflake, DBT, and Airflow to ensure clean, reliable data for analytics and decision-making.
Staff Data Engineer
Lead the design and evolution of a robust Data Platform, building certified data products from sales, inventory, logistics and finance datasets to ensure reliable, traceable and actionable business decisions.