Azure Data Engineer

GlobexPeople; Philippines; On-site; PHP 2,472,188 - 4,944,376; Full time

Job summary

GlobexPeople is seeking a highly skilled Azure Data Engineer to design, build, and optimize scalable data solutions in the Philippines. You will develop robust data pipelines and enable data-driven decision-making through high-quality data platforms.

Your responsibilities include collaborating with cross-functional teams, optimizing data processes, and managing Azure data services. Strong proficiency in ETL development and data governance principles is required. Join us to innovate and improve data solutions!

Qualifications

• Strong proficiency in Azure data services (ADF, Synapse, Databricks, Fabric).
• Solid experience in ETL/ELT pipeline development.
• Expertise in data modeling and distributed data systems.
• Proficiency in SQL and at least one programming language (e.g., Python, Scala).
• Experience with big data processing frameworks.
• Familiarity with CI/CD and DevOps practices.
• Strong understanding of data governance, quality, and security principles.
• Excellent problem-solving and stakeholder collaboration skills.

Responsibilities

• Design, develop, and maintain end-to-end data pipelines and ETL processes using Azure services.
• Build and manage data solutions leveraging Azure Data Factory, Synapse, Databricks, and Fabric.
• Architect and maintain data storage solutions (e.g., Azure Data Lake Storage Gen2, Blob Storage).
• Collaborate with cross-functional teams to translate business requirements into scalable data solutions.
• Optimize pipelines for performance, scalability, and cost-efficiency.
• Implement data quality frameworks, validation processes, and monitoring mechanisms.
• Manage CI/CD pipelines for data engineering workflows.
• Troubleshoot and resolve pipeline and data-related issues.
• Maintain comprehensive technical documentation and best practices.

Skills

Azure data services (ADF, Synapse, Databricks, Fabric)

ETL/ELT pipeline development

Data modeling

SQL proficiency

Python or Scala programming

Big data processing frameworks

CI/CD and DevOps practices

Data governance, quality, and security principles

Problem-solving skills

Stakeholder collaboration skills

Job description

Overview

JOB TITLE: Azure Data Engineer

Summary

We areseekinga highly skilledAzure Data Engineerto design, build, andoptimizescalable data solutions within a modern cloud ecosystem. This role focuses on developing robust data pipelines and enabling data-driven decision-making through reliable, high-quality data platforms.

Responsibilities

• Design, develop, andmaintainend-to-end data pipelines and ETL processesusing Azure services

• Build and manage data solutionsleveragingAzure Data Factory, Synapse, Databricks, and Fabric

• Architect andmaintaindata storage solutions(e.g., Azure Data Lake Storage Gen2, Blob Storage)

• Collaborate with cross-functional teams (Data Scientists, Analysts, Architects) to translate business requirements into scalable data solutions

• Optimizepipelines forperformance, scalability, and cost-efficiency

• Implementdata quality frameworks, validation processes, and monitoring mechanisms

• ManageCI/CD pipelinesfor data engineering workflows

• Troubleshoot and resolve pipeline and data-related issues

• Maintain comprehensivetechnical documentation and best practices

Qualifications

• StrongproficiencyinAzure data services(ADF, Synapse, Databricks, Fabric)

• Solid experience inETL/ELT pipeline development

• Expertiseindata modeling and distributed data systems

• ProficiencyinSQL and at least one programming language(e.g., Python, Scala)

• Experience withbig data processing frameworks

• Familiarity withCI/CD and DevOps practices

• Strong understanding ofdata governance, quality, and security principles

• Excellent problem-solving and stakeholder collaboration skills