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Data Engineer (Azure Databricks)
Build and maintain scalable data pipelines on Azure Databricks using PySpark and SQL, enforce governance with Microsoft Purview, and integrate analytics via Microsoft Fabric.
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.
AI Application Developer
Builds AI-driven apps that ingest and process documents, then feed clean data into RAG systems using Python, vector DBs, and containerized services.
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.
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.
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.
Senior Data Engineer
Senior Data Engineer builds and maintains HIPAA-compliant data pipelines and models for a healthcare AI product using Python, Dagster, DBT, PostgreSQL, and AWS services.
Azure Data Engineer | Hybrid Quezon City
Designs and maintains Azure-based data pipelines and ETL workflows using Data Factory, Synapse, and Databricks to enable data-driven decisions.
Google Cloud Data Engineer
Designs and builds scalable data pipelines and warehouses on Google Cloud, using ETL/ELT, DataOps, and IaC to support analytics and reporting.
Google Data Engineer
Design and build scalable GCP data pipelines and BigQuery models for analytics and ML, using Dataflow, Pub/Sub, and Kubernetes.
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 reporting, analytics, and business operations.
Senior Data Engineer
Build and maintain scalable data pipelines and cloud data warehouses using Azure Data Factory, Snowflake, dbt, SQL, and Python to power marketing analytics and enterprise reporting.
Data Engineer
Builds and maintains scalable ETL pipelines on Databricks and AWS to turn raw data into clean, analytics-ready datasets for reporting and business insights.
Cloud Data Engineer
Design and maintain scalable Azure-based data pipelines and platforms for analytics, using Data Factory, Synapse, Databricks, and Fabric.
Microsoft Fabric Data Engineer
Designs and builds scalable data pipelines and ETL processes using Microsoft Fabric to enable analytics and business intelligence across the organization.
Senior Data Engineer - Hybrid
Senior Data Engineer builds and maintains scalable data pipelines on Databricks Lakehouse, using Python, PySpark, and Azure services to ingest, transform, and serve clean data for analytics and AI.
Senior Data Engineer (Python & Snowflake)
Design and maintain data pipelines and ETL processes using Python, Snowflake, and SQL to build scalable enterprise data solutions.
Senior Data Engineer
Senior Data Engineer builds and maintains GCP-based data pipelines, ETL workflows, and analytics models for MSP customers, using Python, SQL, and Airflow.
Data Engineer
Designs and maintains scalable data pipelines and warehouses, transforming raw data into insights for decision-making using Python, SQL, and cloud platforms.
Data Engineer
Designs resilient, scalable data pipelines and products using Azure, SQL, Spark, and CI/CD to transform and deliver data for analytics and architecture.