Hybrid Data Quality Engineer — Databricks & SQL Expert

ConnectOS; Metro Manila; Hybrid; PHP 700,000 - 1,100,000; Full time

Benefits offered by this job

Medical coverage

Dental coverage

Life insurance

Paid vacation

Annual appraisal

13th month pay

Office fitness facilities

Career growth opportunities

Hybrid work location

Job summary

ConnectOS in Manila is seeking a Data QA Engineer with 3+ years of experience in data quality, validation, and ETL testing. The role is hybrid, located at Mega Tower, Mandaluyong, with a schedule from 11:00 AM to 8:00 PM Manila time.

You will validate data accuracy across data products, design tests for ingestion and transformation, perform source-to-target reconciliation with SQL, and collaborate with Data Engineers, Developers, Architects, and QA teams to improve data testing and deployment

Qualifications

• 3+ years of experience in Data QA, Data Quality Engineering role.
• Strong SQL skills for data validation, reconciliation, investigation, and root-cause analysis.
• Hands‑on experience with Databricks notebooks, workflows, jobs, monitoring, and troubleshooting.
• Experience using Python for data validation and test automation within Databricks notebooks.
• Strong experience testing data pipelines, ETL/ELT processes, transformations, and data products.

Responsibilities

• Validate data accuracy, completeness, consistency, and integrity across data products and platforms.
• Design and execute tests for data ingestion, transformation, enrichment, and consumption.
• Perform source‑to‑target reconciliation and data validation using SQL.
• Validate business rules, calculations, and transformation logic.
• Test batch and event‑driven data pipelines throughout the development lifecycle.
• Monitor Databricks jobs, workflows, and platform processes.
• Investigate and troubleshoot Databricks job and data pipeline failures.
• Develop and maintain automated data validation and reconciliation solutions using SQL, Python, and Databricks notebooks.
• Contribute to automated testing within CI/CD pipelines.

Skills

Analytical thinking

Attention to detail

English communication

Tools

Databricks

Python

SQL

Azure

PySpark

Job description

ConnectOS in Manila is seeking a Data QA Engineer with 3+ years of experience in data quality, validation, and ETL testing. The role is hybrid, located at Mega Tower, Mandaluyong, with a schedule from 11:00 AM to 8:00 PM Manila time.

You will validate data accuracy across data products, design tests for ingestion and transformation, perform source-to-target reconciliation with SQL, and collaborate with Data Engineers, Developers, Architects, and QA teams to improve data testing and deployment