Senior SDET Python/Data

Important Information:

• Years of Experience: 7+ years in Quality Engineering or related roles

• Job Mode: Full-time

• Work Mode: Remote within Mexico

Job Summary:
We are seeking a Senior Software Development Engineer in Test (SDET) with strong experience in data testing, ETL processes, and data validation. This role involves building and maintaining end-to-end automated testing frameworks for data pipelines, ensuring the accuracy, reliability, and performance of complex data systems. The ideal candidate will collaborate with cross-functional teams, including Data Engineers (DEs) and Analytics Engineers (AEs), to define testing strategies, validate data transformations, and contribute to continuous improvement of quality practices.

Responsibilities and Duties:

• Develop and maintain dbt end-to-end testing from the bronze to gold data layers.

• Create mocked and expected datasets for validation across data layers.

• Collaborate with business stakeholders to understand testing value and communicate objectives to DEs and AEs within Scrum teams.

• Analyze engineering and analytics requirements to define test coverage and scope.

• Partner with the team to understand schema changes, business logic, and define data testing strategies.

• Design, implement, and maintain dbt models, unit tests, and custom test cases using pytest.

• Review pull requests, investigate failed tests, and work closely with DEs/AEs for resolution and approvals.

• Participate in Agile ceremonies and contribute to continuous process improvements.

• Identify areas for optimization in data testing processes and contribute to business value delivery.

Qualifications and Skills:

• 7+ years of experience in Quality Engineering or Software Testing roles.

• Strong understanding of data warehousing concepts, ETL processes, and BI tools.

• Hands-on experience in data validation techniques and tools.

• Proficiency in SQL and Python.

• Strong grasp of testing strategies and version control (Git).

• Excellent communication and collaboration skills in Agile environments.

Role-Specific Requirements:

• Ability to work with dbt, pytest, Databricks, Docker, and VSCode.

• Experience analyzing schema changes and defining testing strategies for data pipelines.

• Comfort working independently as the primary QE within a Scrum team.

• Capability to liaise effectively with technical and business stakeholders.

Technologies:

• Python, SQL

• dbt, pytest

• Databricks, Docker, Git, VSCode

• BI tools such as Power BI, Tableau (nice to have)

Skillset Competencies:

• Data pipeline testing and automation

• Data validation and ETL testing

• Agile collaboration and communication

• Problem-solving and analytical thinking

• Continuous improvement and process optimization

About Encora:
Encora is the preferred digital engineering and modernization partner of some of the world’s leading enterprises and digital-native companies. With over 9,000 experts in 47+ offices and innovation labs worldwide, Encora’s technology practices include Product Engineering & Development, Cloud Services, Quality Engineering, DevSecOps, Data & Analytics, Digital Experience, Cybersecurity, and AI & LLM Engineering.

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