Tokyo, Tokyo Atify - Positive Impact with AI

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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