Remote Senior Data QA Engineer - Snowflake/Databricks

NTT DATA, Inc.

Atlanta (GA)

Remote

USD 94,000 - 163,000

Full time

4 days ago
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Benefits offered by this job

Medical insurance
Dental insurance
Vision insurance
HSA/FSA
Life and AD&D insurance
Short/Long term disability
Paid time off
401k with company match
Additional voluntary benefits

Job summary

NTT DATA is seeking a Remote Data QA professional to join our Atlanta-based team. The Senior QA Data Engineer will design and validate data transformations, implement robust test plans, and guide validation across Snowflake and Databricks environments.

The role emphasizes advanced SQL, Python scripting, DAX queries, and mentoring teammates while collaborating with stakeholders. Competitive compensation and comprehensive benefits are offered, with eligibility for incentive programs.

Qualifications

  • 5+ years of QA experience with at least 3 years focused on data warehouse, ETL/ELT, or pipeline testing.
  • 5+ years of Hands-on testing experience on Snowflake and Databricks (notebooks, SQL, basic PySpark).
  • 5+ years of Strong Python skills for writing validation scripts, iterating across columns/tables, and producing automated comparison reports.
  • 5+ years of Advanced SQL skills, including complex joins, aggregations, window functions, and reconciliation patterns.
  • 5+ years of Demonstrated ability to write detailed test plans and test cases independently.
  • 5+ years of Experience performing root cause analysis on data issues and producing structured RCA documentation.
  • 5+ years of Experience working in Jira-driven QA workflows.

Responsibilities

  • Create comprehensive test plans and test cases for new transformations and ingestion processes, working from minimal business-supplied input.
  • Execute advanced data validation: verify code correctness against base tables, confirm key fields contain the correct data, and reconcile system outputs against business and vendor expectations (e.g., sales figures, account roles).
  • Write complex SQL and Python validation scripts to compare data warehouse sources against tabular cube outputs, including completeness, sum totals, null percentages, and key-field checks.
  • Author DAX queries against tabular cubes to extract data for comparison against the Azure Data Warehouse source.
  • Lead testing for new transformations and migrations across Snowflake and Databricks, assess impact on downstream cubes and reports.
  • Conduct root cause analysis on data quality incidents; document findings, impact, and remediation, and partner with development teams on resolution.
  • Contribute to and extend the team's automated test scripts and frameworks under the Technical Lead's direction.
  • Use Jira to receive assignments and notifications, kick off test plans, and track results.
  • Mentor QA Engineers/Testers on SQL, Python, validation techniques, and test planning.

Skills

QA testing
Snowflake
Databricks
Python
SQL
Jira
Root cause analysis
Test planning
Data warehouse testing
ETL testing

Job description

NTT DATA is seeking a Remote Data QA professional to join our Atlanta-based team. The Senior QA Data Engineer will design and validate data transformations, implement robust test plans, and guide validation across Snowflake and Databricks environments.

The role emphasizes advanced SQL, Python scripting, DAX queries, and mentoring teammates while collaborating with stakeholders. Competitive compensation and comprehensive benefits are offered, with eligibility for incentive programs.

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