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Azure Data Factory Testing

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Onsite

Azure Data Factory Testing

Canterr It Services

Azure Data Factory Testing

Skills

SQL QueriesTesting & QASnowflakedbtJiraAzure

21 days ago

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Important information


Contract type:

Permanent

Location:

Hyderabad, Telangana, India

Work mode:

Onsite

Published on:

7 October 2026

What they need


Job Title: Data Test Lead

Location: Hyderabad
Experience: 9+ years
Notice Period: Immediate to 7 days
Interview Type: F2F on Saturday.

We are looking for a data test lead with strong experience in Azure Data Factory, ETL/data warehouse testing, data migration testing, reconciliation, and data quality validation.

Key Responsibilities:

  • Lead end-to-end data testing strategy for large-scale EDW migration from legacy ETL platforms to cloud-native architectures.
  • Perform source-to-target reconciliation, parallel testing, and transformation validation.
  • Validate Azure Data Factory pipelines, orchestration workflows, and data processing.
  • Perform testing of complex transformations, aggregations, business rules, and dimensional models.
  • Build and execute SQL-based data validation and reconciliation frameworks.
  • Perform data migration, regression, SIT, UAT, and production validation.
  • Lead and mentor QA/testing teams and coordinate with data architects, ETL developers, BAs, and business stakeholders.
  • Manage defects, test execution, data quality metrics, and stakeholder reporting.

Required Skills:

  • 9+ years of Data Warehouse/ETL Testing experience.
  • Strong ETL/ELT and data migration testing experience.
  • Hands-on Azure Data Factory testing experience.
  • Strong Ab Initio knowledge and experience validating graphs, mappings, and workflows.
  • Hands-on dbt experience, including dbt tests, snapshots, model validation, SQL transformation validation, and lineage verification.
  • Advanced SQL skills.
  • Strong Snowflake/cloud data warehouse experience.
  • Strong experience in source-to-target testing, reconciliation, data validation, and data quality.
  • Good understanding of dimensional modelling and enterprise data warehousing.
  • Experience with JIRA, Azure DevOps, or equivalent test/defect management tools.
  • Strong leadership, communication, stakeholder management, and team mentoring skills.

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