Senior SDET (Earnix)

Encora; Comisión de Fomento de Perú; Remote; ARS 106,110,000 - 144,007,000; Full time

Job summary

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.

Qualifications

• 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.

Responsibilities

• 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.

Skills

Python automation

PyTest

SQL

dbt testing

Databricks

Spark workloads

Delta tables

CI/CD

Git

ELT/ETL

PySpark

Data modeling

Tools

Databricks

dbt

Earnix

Job description

Experience: 7+ YOE.

Mode: Remote

We at Coforge are hiring Senior SDET - Earnix (#006fu00000cVkwnAAC-2) with the following skill set.

Key Responsibilities

Define and implement end-to-end test strategies for Databricks pipelines, dbt models, Delta tables, APIs, and downstream analytical products.

Build maintainable automation frameworks using Python, PyTest, SQL, and dbt tests, validating Bronze-to-Silver-to-Gold transformations through reconciliation, accuracy, integrity, completeness, and business-rule testing.

Test pricing and rating data, including rating factors, model inputs, quote versions, premium calculations, and integrations with pricing or rating platforms such as Earnix.

Embed automated quality gates into CI/CD pipelines, investigate defects, support root-cause analysis, define quality metrics, and promote shift-left testing and data-quality best practices.

Required Skills & Qualifications

7+ years of experience in Quality Engineering or Test Automation, including substantial experience testing enterprise data platforms.

Strong hands-on experience testing Databricks pipelines, Spark workloads, Delta tables, jobs/workflows, and Lakehouse data products.

Advanced experience with dbt testing, including custom tests, source freshness, model validation, documentation, and CI/CD quality gates.

Strong Python automation skills, including PyTest, reusable test utilities, test-data generation, and pipeline/API validation.

Advanced SQL skills for complex validation, source-to-target reconciliation, defect analysis, and data-quality investigation.

Strong knowledge of data-quality testing, including completeness, accuracy, uniqueness, integrity, timeliness, schema, and business-rule validation.

Experience designing enterprise test automation frameworks covering unit, integration, regression, end-to-end, and release validation.

Strong experience with CI/CD, Git, automated test execution, quality gates, and version-controlled test assets.

Working knowledge of ELT/ETL, PySpark, data modeling, incremental loads, orchestration, and production support.

Strong analytical, communication, defect-triage, and stakeholder-management skills.

Preferred Skills:

Experience testing insurance pricing, policy, quote, premium, rating-factor, underwriting, or actuarial data.

Experience with Earnix or other enterprise pricing/rating engines.

Experience with REST/API contract, performance, scalability, resilience, and low-latency testing.

Knowledge of Unity Catalog, Dataiku, MLflow, Power BI, or data-quality frameworks such as Great Expectations, Soda, or Deequ.

Posted On: 12-10-2026

At Coforge, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.