Test Engineer at NTT DATA

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

10 Apr, 26

Salary

0.0

Posted On

10 Jan, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, Data Validation, ETL Testing, Data Migration, Snowflake, Databricks, Informatica, dbt, Data Warehouse Concepts, Test Management, Defect Tracking, Regression Testing, Performance Testing, Data Discrepancy Analysis, Collaboration, Attention to Detail

Industry

IT Services and IT Consulting

Description

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. 3-6 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. Strong SQL skills for writing complex queries and validations (joins, aggregations, window functions, filters). 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. Strong attention to detail and a structured approach to validation. Ability to analyze data discrepancies and collaborate with developers to narrow down issues.

Responsibilities

The Test Engineer will execute data validation queries to ensure accuracy between source and target data outputs, perform various validation checks, and log discrepancies. They will also support root-cause analysis and validate data transformations and migrations.