Test Engineer

NTT DATA North America; Hyderabad; On-site; INR 900,000 - 1,500,000; Full time

Job summary

NTT DATA seeks a Test Engineer to join the Hyderabad team for data validation across migration waves. You will validate data migration from legacy Informatica outputs to Snowflake/Databricks, ensuring schema integrity and correct transformations.

Responsibilities include executing functional and regression tests, log defects with evidence, and collaborate with onshore/offshore teams to ensure data quality and timely delivery.

Qualifications

• Strong SQL skills and complex query writing for validations.
• Experience testing on data platforms like Snowflake or Databricks.
• Familiarity with Informatica mappings and dbt-based validations.

Responsibilities

• Execute data validation queries comparing source vs target outputs.
• Perform row-count and aggregate validations across datasets.
• Validate schema, data types, lengths, precision/scale, and nullable fields.
• Log defects with steps and evidence in defect tracking tools.
• Retest resolved defects and support regression test cycles.
• Coordinate with onshore/offshore teams during testing and triage.

Skills

SQL Queries

Data Validation

Collaboration

Test Management Tools

Tools

Snowflake

Databricks

Informatica

dbt

Azure DevOps

JIRA

TestRail

qTest

Job description

Job Description:

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us.

We are currently seeking a Test Engineer to join our team in Hyderabad, Telangana (IN-TG), India (IN).

Job Duties: Roles & Responsibilities

• Execute data validation queries to compare:
• Source (Yellowbricks / Informatica outputs) vs Target (Databricks / Snowflake / dbt outputs).
• Perform:
• Row-count checks between source and target tables.
• Aggregate validations (sums, counts, averages, distinct counts, min/max).
• Sample and cell-level comparisons for critical entities and fields.
• Validate schema consistency (data types, lengths, precision/scale, nullable fields, constraints).
• Log discrepancies, analyze patterns, and work with developers to support root-cause analysis.
• Understand Informatica mappings and workflows and their expected outputs.
• Validate dbt models (staging, core, marts) on Snowflake against legacy Informatica outputs.
• Test Databricks notebooks/jobs that replicate Yellowbricks logic — ensuring correct transformations, joins, filters, and aggregations.
• Validate CDC / incremental loads: new, changed, and deleted records are handled correctly.
• Execute functional tests to verify correct application of business rules after migration.
• Perform regression testing for each migration wave to ensure that previously validated data and flows remain correct.
• Support integration testing across layers:
• Source → Databricks / Snowflake
• dbt → Snowflake → downstream reports or extracts
• Validate downstream outputs (if in scope): reports, extracts, or interfaces that consume migrated data.
• Assist in executing basic performance tests for key queries and jobs (e.g., comparing runtime vs baseline).
• Monitor pipeline runs for job failures, retries, and data volume anomalies.
• Execute test cases, record results, and maintain traceability to requirements.
• Log defects with clear steps, data samples, and evidence (screenshots/SQL) in the defect tracking tool (e.g., JIRA, Azure DevOps).
• Retest resolved defects and support regression runs.
• Maintain test case repositories, test data sets, and execution logs for audit and re-use.
• Participate in daily stand-ups / defect triage with onshore/offshore teams.

Minimum Skills Required

• 2-4 years of experience in Software Testing / QA, with at least 2+ years in Data Warehouse / ETL testing.
• Practical experience in data migration / data platform modernization projects is strongly preferred.

Technical Skills

• Strong SQL skills for writing complex queries and validations (joins, aggregations, window functions, filters).
• Hands-on experience testing on at least one data platform such as:
• Snowflake, Databricks, or other cloud DW/Big Data platforms – experience with Snowflake/Databricks is a plus.
• Exposure to Informatica (understanding mappings/workflows and expected outputs).
• Exposure to dbt or willingness to learn dbt-based validations (model outputs, dbt test results).
• Good understanding of data warehouse concepts: facts/dimensions, SCDs, aggregations, grain, source-to-target mapping.
• Familiarity with test management and defect tracking tools (e.g., Azure DevOps, JIRA, TestRail, qTest).
• Experience with Excel or similar tools for managing validation results and reconciliation artifacts.

Soft Skills

• Strong attention to detail and a structured approach to validation.
• Ability to analyze data discrepancies and collaborate with developers to narrow down issues.

About NTT DATA

NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the worlds leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners.NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.

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