Senior SDET

Encora; United States; Remote; USD 90,000 - 130,000; Full time

Job summary

Coforge is seeking a Senior SDET to design and execute comprehensive test strategies for data platforms. You will validate Databricks pipelines, Delta tables, and dbt models while ensuring data quality across Bronze-to-Silver-to-Gold transformations.

The role emphasizes Python-based automation with PyTest, SQL validation, and CI/CD integration, including delivery of reliable automated tests for pricing and rating data and Earnix integrations. Remote, international scope.

Qualifications

• 7+ years of experience in Quality Engineering or Test Automation for enterprise data platforms.
• Strong hands-on experience testing Databricks pipelines, Spark workloads, Delta tables and Lakehouse data products.
• Advanced dbt testing including custom tests, model validation and CI/CD quality gates.
• Strong Python automation skills with PyTest, test-data generation, and API validation.
• Advanced SQL for complex validation and data-quality investigations.
• Experience designing enterprise test automation frameworks for unit, integration and end-to-end testing.

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 and validate Bronze-to-Silver-to-Gold transformations with quality gates.
• Test pricing and rating data, including integration with pricing/rating engines such as Earnix.
• Embed automated quality gates into CI/CD pipelines and drive shift-left testing and data-quality practices.

Skills

Databricks

dbt

Python

PyTest

SQL

Test Automation

Data Quality

Delta Lake

PySpark

CI/CD

Earnix

Job description

Job Title: Senior SDET

Key Skills: Databricks, dbt, Python, PyTest, SQL, Test Automation, Data Quality, Delta Lake, PySpark, CI/CD, Earnix

Experience: 7+ YOE.

Location: Costa Rica, Peru, Colombia, Bolivia

Mode: Remote

We at Coforge are hiring Senior SDET (#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.