Azure Data Engineer - Hybrid, Pipelines & ETL

Strategic Staffing Solutions; Philippines; Hybrid; PHP 900,000 - 1,500,000; Full time

Benefits offered by this job

Hybrid work

HMO Coverage

Job summary

Strategic Staffing Solutions is seeking an experienced Data Engineer to design, build, and maintain scalable data pipelines on Microsoft Azure. The role focuses on ETL development using Data Factory, Synapse, Databricks, and Azure Fabric, with data storage in ADLS Gen2 and Blob Storage.

Strong SQL, Python, and PySpark skills are essential, along with CI/CD practices. You will work in a hybrid setup, collaborating with data scientists, analysts, and stakeholders to deliver reliable data solutions

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or related field.
• 3+ years of Data Engineering/ETL experience.
• Strong hands-on experience with Microsoft Azure data services.
• Strong SQL skills and experience with modern relational databases.
• Experience with Spark/PySpark and big data technologies.
• Strong understanding of software engineering, version control, testing, and CI/CD.

Responsibilities

• Design, develop, and maintain scalable data pipelines and ETL solutions using Microsoft Azure technologies.
• Build and maintain data pipelines using Azure Data Factory, Synapse, Databricks, and Azure Fabric.
• Manage data using Azure Data Lake Gen2 and Blob Storage.
• Develop efficient data transformations using SQL, Python, and PySpark/Spark.
• Monitor, troubleshoot, and optimize pipelines for performance, reliability, and cost.
• Collaborate with data scientists, analysts, architects, and business stakeholders.
• Maintain technical documentation and follow data engineering best practices.

Job description

Strategic Staffing Solutions is seeking an experienced Data Engineer to design, build, and maintain scalable data pipelines on Microsoft Azure. The role focuses on ETL development using Data Factory, Synapse, Databricks, and Azure Fabric, with data storage in ADLS Gen2 and Blob Storage.

Strong SQL, Python, and PySpark skills are essential, along with CI/CD practices. You will work in a hybrid setup, collaborating with data scientists, analysts, and stakeholders to deliver reliable data solutions