ETL / Data Quality QA Engineer
(Only candidates currently residing in Japan with a valid work visa)
Atify is supporting a major Japan-based enterprise in expanding its
data quality and engineering
capabilities.
We can only consider applicants who are physically located in Japan and already possess a valid work visa.
Who Should
Not
Apply
Candidates
not currently located in Japan
Candidates without a valid Japanese work visa
Data Engineers with
no QA/testing experience
QA Engineers without SQL + data testing experience
ML/AI developers, students, interns, or software testers without ETL testing background
Role Summary
We are seeking a
QA Engineer focused on ETL/Data Quality
.
This is
not a Data Engineer role
— it is a
data validation and test-focused
position responsible for ensuring that data pipelines, transformations, and downstream data products meet quality, accuracy, and reliability standards.
You will design and execute data test cases, analyze data flows, validate transformation logic, and help build automated data quality checks.
Mandatory Requirements (Hard Filters)
Your application
will not be considered
unless
ALL
of the following are true:
Location & Visa
- Currently living in Japan
- Holding a valid work visa (no sponsorship needed)
- English: Business level
- Japanese: Conversational (preferred)
Technical Requirements
- 2+ years of hands-on QA experience testing ETL/ELT/data pipelines
- (not only developing them — actual testing & validation)
- Strong SQL
(complex joins, aggregations, profiling, validation) - Experience designing
data-focused test cases
, such as: - Schema validation
- Row-count & reconciliation testing
- Aggregation & transformation validation
- Data quality rules (accuracy, completeness, consistency)
- Experience validating workflows built with ETL/ELT tools
- (e.g., ADF, Glue, dbt, Informatica, Talend, Airflow etc.)
- Understanding of
data lake / data warehouse
architectures
Preferred Qualifications
- Automated data verification using Python or SQL-based frameworks
- Experience integrating tests into CI/CD or data-ops pipelines
- Familiarity with data observability tools (e.g., freshness, drift detection)
- Experience with batch + streaming data (Kafka, Kinesis)
Responsibilities
- Design, develop, and execute
data-focused test plans and test cases - Validate ingestion, cleansing, transformation, and loading logic
- Write and maintain SQL-based validation scripts
- Detect discrepancies, anomalies, schema drift, and data inconsistencies
- Collaborate with data engineers to troubleshoot and resolve issues
- Implement automated data quality checks and monitoring dashboards
- Provide insights into data quality metrics for stakeholders
- Promote data quality best practices across teams
Employment Details
- 3-month renewable contract
- Hybrid role (Tokyo)
- Work in an international, English-speaking environment
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