Data Quality Engineer (Contractual | Mid-level)

Lewis Personnel Management; Taguig; On-site; PHP 600,000 - 900,000; Part time

Job summary

Lewis Personnel Management is seeking a Data Quality Engineer to design, implement, and maintain data quality rules for our ETL pipelines. You will monitor quality metrics, perform profiling, and investigate anomalies while ensuring governance and regulatory compliance.

Hybrid dayshift work in BGC is available, with a six-month initial contract and potential extension. The role requires at least 2 years of relevant experience and strong Python/SQL/ETL skills, with NiFi being a bonus.

Qualifications

• At least 2 years of working experience.
• Strong experience with Python, SQL, and ETL/Data Flows.
• Experience in data quality, data validation, and data profiling.
• Knowledge of data governance and regulatory compliance.
• Nice to have: Apache NiFi familiarity.
• Willing to work in a hybrid, dayshift setup in BGC.
• Open to contractual setup (6 months initial contract with high possibility of extension).

Responsibilities

• Design and implement data quality rules including validation, duplicates, and format checks.
• Develop and maintain automated data validation and testing for ETL/data pipelines.
• Monitor data quality metrics, profile data, and investigate anomalies.
• Identify root causes and collaborate with data engineers and business stakeholders to resolve them.
• Ensure data governance, privacy, and regulatory compliance.
• Document data quality standards, processes, and best practices.

Skills

Python

SQL

ETL/Data Flows

Tools

Apache NiFi

Job description

Responsibilities:

• Design and implement data quality rules, including validation, duplicate detection, and format checks.




• Develop and maintain automated data validation and testing for ETL/data pipelines.




• Monitor data quality metrics, perform data profiling, and investigate data anomalies.

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• Identify root causes of data issues and collaborate with data engineers and business stakeholders to resolve them.




• Ensure data compliance with governance, privacy, and regulatory standards.




• Document data quality standards, processes, and best practices.

Requirements:

• At least 2 years of working experience




• Strong experience with Python, SQL, and ETL/Data Flows.




• Experience in data quality, data validation, and data profiling.




• Knowledge of data governance and regulatory compliance.




• Nice to have: Experience with Apache NiFi.




• Willing to work in a hybrid, dayshift setup in BGC.




• Open to contractual setup (6 months initial contract with high possibility of extension)