ETL Manual Tester

Private Advertiser; Makati; On-site; PHP 420,000 - 580,000; Full time

Job summary

Private Advertiser is seeking a QA/Data Validation Specialist to ensure data integrity across pipelines. The role emphasizes manual testing, SQL querying, and validation of ETL processes to confirm accurate data mapping from source to target.

Ideal candidates will have strong analytical skills, experience documenting defects, and effective communication for cross-team collaboration in a data-centric environment.

Qualifications

• Experience in Manual QA/Software Testing.
• Strong understanding of SQL.
• Data comparison and validation queries.
• Understanding of ETL concepts and processes.
• Good understanding of how data pipelines work from source to target.
• Knowledge of databases and data warehouses.
• Ability to understand data mappings and transformation logic.
• Strong analytical and problem-solving skills.
• Experience creating test cases and documenting defects.
• Good communication and collaboration skills.

Skills

Manual QA/Software Testing

SQL

Data validation queries

ETL concepts

Data pipelines

Databases and data warehouses

Data mappings and transformation logic

Analytical and problem-solving

Test case creation

Defect documentation

Tools

SSIS

Informatica

Talend

Azure Data Factory

AWS Glue

Snowflake

Redshift

BigQuery

Azure Synapse

Job description

Required Skills

• Experience in Manual QA/Software Testing.
• Strong understanding of SQL.
• Data comparison and validation queries
• Understanding of ETL concepts and processes.
• Good understanding of how data pipelines work from source to target.
• Knowledge of databases and data warehouses.
• Ability to understand data mappings and transformation logic.
• Strong analytical and problem-solving skills.
• Experience creating test cases and documenting defects.
• Good communication and collaboration skills.

Preferred Skills

• Experience testing ETL tools or data platforms such as SSIS, Informatica, Talend, Azure Data Factory, AWS Glue, or similar technologies.
• Familiarity with cloud data warehouses such as Snowflake, Redshift, BigQuery, or Azure Synapse.
• Understanding of batch processing and scheduled data loads.