Senior SDET (Earnix)

Encora; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

Coforge is hiring a Senior SDET for Earnix to work remotely from the United States. The role focuses on designing test strategies for Databricks pipelines, Delta tables, and APIs, and building automation with Python, PyTest, SQL, and dbt tests.

You will validate Bronze-to-Silver-to-Gold transformations and ensure data quality across analytics components. The candidate will embed quality gates into CI/CD, investigate defects, and perform root-cause analysis while expanding testing coverage for

Qualifications

• 7+ years of experience in Quality Engineering or Test Automation.
• Strong hands-on experience testing Databricks pipelines, Spark workloads, Delta tables, jobs/workflows, and Lakehouse data products.
• Advanced SQL skills for complex validation, source-to-target reconciliation, defect analysis, and data-quality investigation.

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 transformations through reconciliation and quality testing.
• Test pricing and rating data, including model inputs, premium calculations, and integrations with pricing platforms such as Earnix.
• Embed automated quality gates into CI/CD pipelines, investigate defects, support root-cause analysis, and promote 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 (Earnix)

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 - 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.

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.