DBT Snowflake Engineer

NTT DATA, Inc.; Chennai District; On-site; INR 900,000 - 1,300,000; Full time

Job summary

NTT DATA is seeking a DBT/Snowflake QA Engineer to Chennai, India, focusing on validating migrations from Yellowbricks/Informatica to Databricks/Snowflake. The role emphasizes data validation, schema checks, and defect management across CI/CD workflows.

You will verify dbt models, perform regression tests, and collaborate with onshore/offshore teams to ensure accuracy of reports and downstream interfaces.

Qualifications

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

Responsibilities

• Execute data validation queries to compare source vs target outputs.
• Log discrepancies and analyze patterns to support root-cause analysis.
• Validate dbt models (staging/core/marts) on Snowflake against legacy Informatica outputs.
• Test Databricks notebooks/jobs replicating Yellowbricks logic for correct transformations.
• Validate CDC / incremental loads for new, changed, and deleted records.
• Perform regression testing after migration waves to ensure data integrity.
• Monitor pipeline runs for failures, retries, and data volume anomalies.
• Log defects with clear steps and evidence in defect tracking tools.

Skills

SQL

Data Warehouse

ETL Testing

Snowflake

Databricks

Informatica

dbt

Azure DevOps

JIRA

TestRail

qTest

Excel

Tools

Snowflake

Databricks

Informatica

dbt

Azure DevOps

JIRA

TestRail

qTest

Excel

Job description

Job Description:

Req ID: 348694

We are currently seeking a DBT/Snowflake Engineer to join our team in Chennai, Tamil Nādu (IN-TN), 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: Experience

• 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.

Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in‑office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both employees and clients. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us.

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