Description

Technical Skills

5+ years of experience in ETL/ELT testing, data warehouse testing, or data quality testing.

Strong hands-on experience writing complex SQL queries for data validation and reconciliation

Experience working with Snowflake as a cloud data warehouse.

Experience testing dbt data models, transformations, schema tests, and data quality checks

Experience with Fivetran or similar data ingestion/integration tools such as Airbyte, Matillion, Informatica Cloud, Stitch, Talend, or AWS Glue.

Strong understanding of data warehousing concepts, dimensional modeling, star/snowflake schemas, facts, and dimensions.

Experience validating batch and incremental data loads.

Knowledge of ETL/ELT concepts, source-to-target mapping, CDC, SCD types, and data lineage

Experience with defect tracking and test management tools such as Jira, Azure DevOps, TestRail, or similar

Familiarity with Agile/Scrum delivery methodologies

Strong analytical, troubleshooting, and communication skills

Key Responsibilities

Design, develop, and execute test plans, test cases, and test scripts for ETL/ELT and data transformation pipelines.

Validate source-to-target data mappings, transformation rules, business logic, and data lineage. perform data reconciliation, completeness, accuracy, consistency, duplication, and referential-integrity checks. Test data ingestion pipelines built using Fivetran or similar integration tools.

Validate data transformations and models developed in dbt, including incremental models, snapshots, macros, tests, and dependencies.

Perform SQL-based validation of data stored in Snowflake, including large-volume datasets and complex transformations.

Identify, log, track, and retest data defects in collaboration with data engineers, analytics engineers, developers, and business stakeholders.

Develop and maintain automated data validation and regression test frameworks where applicable.

Validate error handling, exception processing, rerun/recovery mechanisms, and audit/control tables.

Support integration, system, regression, user acceptance, and production validation testing.

Review requirements, source-to-target mapping documents, data models, and technical design documents to identify test scenarios.

Monitor data quality issues and provide root-cause analysis support.

Ensure test evidence, execution reports, and defect documentation are complete and maintained

Key Skills

Education

Bachelor's degree