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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 (MSP)
Build and maintain cloud-native AWS data platforms, ETL/ELT pipelines, and data lakes to support analytics and BI use cases.
Azure Data Engineer
Build and maintain scalable ETL pipelines using Azure Data Factory, Synapse, Databricks, and Spark to process and optimize data solutions.
Lead Data Engineer
Lead a team of data engineers to design, build, and optimize cloud-based data pipelines and warehouses using Python, SQL, Spark, and cloud platforms like Azure or AWS.
Azure Data Engineer
Design and maintain Azure-based data pipelines and Medallion Architecture using PySpark, Azure Databricks, and Data Factory to clean, transform, and deliver enterprise reporting data.
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.
Data Engineer, Managed Services
Build and maintain Azure-based data pipelines and Power BI reports for clients, troubleshooting issues and mentoring junior engineers using Microsoft’s data stack.
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 — Azure Data Factory & Pipelines
Design and build Azure Data Factory pipelines for clients in healthcare, industry, finance, and transportation, using Azure Data Lake and Databricks.
Data Engineering Consultant (Microsoft Azure)
Design and build scalable Azure data pipelines and frameworks using Synapse, Databricks, and Fabric to ingest, transform, and govern enterprise data for analytics.
Lead, Data Engineer
Lead a team to design, build, and maintain data pipelines and warehouses for a leading fintech app, ensuring reliable data flow and quality for analytics and 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.
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.
Data Engineer - Night Shift
Builds and maintains enterprise data pipelines and analytics platforms using SQL, ETL/ELT, and cloud tools like Microsoft Fabric to support reporting and AI initiatives.
Factory Data Engineer: Analytics & Pipelines (Fixed-Term)
Builds and maintains data pipelines and analytics infrastructure for a semiconductor manufacturer, enabling reliable data access for BI and data science teams.
Senior Data Engineer
Builds and maintains scalable data pipelines and lakehouse architectures to feed AI/ML workloads and analytics, using Spark, SQL, Python, and cloud services like AWS.
Data Engineer (Azure)
Designs and maintains Azure-based data pipelines using Databricks, PySpark, and Azure Data Factory to ingest and process banking data into scalable Medallion Architecture layers.
Senior Clinical Data Engineer: Cloud Pipelines & Enablement
Build and maintain cloud-based data pipelines for clinical datasets, automating ETL/ELT workflows and ensuring compliant delivery of data products using SQL, Python, and cloud platforms.
Data Management Senior Associate (Data Engineer)
Build and govern data pipelines, lakes, and products to ensure accurate, secure, and accessible data for analytics and operations in a large consumer-banking unit.