Remote Senior SDET: Databricks, DBT & Data Quality

Encora; Comisión de Fomento de Perú; Remoto; ARS 106.110.000 - 144.007.000; Tempo pieno

Descrizione del lavoro

Coforge is hiring a Senior SDET to own end-to-end testing of Databricks pipelines, dbt models, and Delta tables in a remote setup. You will validate APIs, pricing data, and downstream analytics while building robust automation with Python, PyTest, SQL, and CI/CD governance.

The role requires 7+ years in quality engineering with enterprise data platform testing, strong SQL, and experience with data quality and data modeling. Remote work with international collaboration is expected.

Competenze

• 7+ years of experience in Quality Engineering or Test Automation.
• Experience testing enterprise data platforms and Databricks pipelines.
• Strong Python automation skills with PyTest and test-data generation.
• Advanced SQL skills for data-quality validation and reconciliation.
• Experience with CI/CD, Git, and quality gates in automation.
• Knowledge of ELT/ETL, PySpark, and data modeling.
• Familiarity with data-quality frameworks and end-to-end testing.

Mansioni

• Define and implement end-to-end test strategies for Databricks pipelines and APIs.
• Build maintainable automation frameworks using Python, PyTest, SQL, and dbt tests.
• Validate pricing/rating data and integrations with pricing engines like Earnix.
• Embed automated quality gates into CI/CD pipelines and perform root-cause analysis.
• Promote shift-left testing and data-quality best practices across teams.

Conoscenze

Python automation

PyTest

SQL

dbt testing

Databricks

Spark workloads

Delta tables

CI/CD

Git

ELT/ETL

PySpark

Data modeling

Strumenti

Databricks

dbt

Earnix

Descrizione del lavoro

Coforge is hiring a Senior SDET to own end-to-end testing of Databricks pipelines, dbt models, and Delta tables in a remote setup. You will validate APIs, pricing data, and downstream analytics while building robust automation with Python, PyTest, SQL, and CI/CD governance.

The role requires 7+ years in quality engineering with enterprise data platform testing, strong SQL, and experience with data quality and data modeling. Remote work with international collaboration is expected.