Data Engineer

We are looking for an experienced Data Engineer to design, develop, and maintain scalable, reliable, and automated data pipelines and ETL solutions using Microsoft Azure technologies.

Key Responsibilities:

• 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.
• Optimize pipelines for performance, scalability, reliability, and cost efficiency.
• Implement data validation and quality processes.
• Monitor, troubleshoot, and resolve pipeline issues.
• Manage deployments through Azure DevOps, Git, and CI/CD.
• Collaborate with data scientists, analysts, architects, and business stakeholders.
• Maintain technical documentation and follow data engineering best practices.

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.

Preferred: Python, Azure Fabric, Delta/Parquet/Avro, API data integration, Azure DevOps, Git, and Ansible experience.

💼 Why Join Strategic Staffing Solutions (S3)?

✅ Full-Time Permanent Employment

✅ Competitive Salary Package

✅ Hybrid Work Setup: Ayala Makati (2 Days Onsite / 3 Days Remote)

✅ HMO Coverage: Up to 500K

✅ Leave Credits: Prorated, applicable on first day

✅ FIXED WEEKEND OFF

✅ Laptop provided

✅ PAID HOLIDAYS

✅ Government Benefits

✅ 13th Month Pay

✅ Team Building Activities