Test Engineer

TechDoQuest; Lewisville (TX); Presencial; USD 90.000 - 140.000; Jornada completa

Descripción de la vacante

TechDoQuest is seeking an Automotive Data Engineering Tester in Texas to validate vehicle-to-cloud data pipelines, ETL/ELT workflows and data-quality across ingestion, processing and storage layers. You will verify batch and streaming processing, APIs, and event-streaming workflows while ensuring data accuracy and completeness for connected vehicle datasets.

Responsibilities include creating reusable test scripts in Python, performing regression and data-migration testing, and contributing to

Formación

• 4–8 years in data testing, ETL testing, data engineering testing or quality engineering.
• Strong SQL skills with complex queries, joins, reconciliation and validation.
• Experience testing ETL/ELT pipelines, data warehouses, data lakes and high-volume data platforms.
• Cloud familiarity with AWS, Azure or GCP.

Responsabilidades

• Validate end-to-end vehicle-to-cloud data pipelines across ingestion, processing, storage and consumption layers.
• Perform source-to-target validation for ETL and ELT workflows, including mappings, transformation rules, reconciliation and exception handling.
• Test batch and near-real-time processing for accuracy, completeness, sequencing, duplication, latency and data loss.
• Validate Connected Vehicle and telematics datasets such as vehicle health, GPS/location, fuel consumption, driver behaviour, diagnostic trouble codes, powertrain, EV battery and OTA campaign data.
• Test REST APIs, microservices and integrations between vehicle systems, telematics platforms, cloud services, enterprise applications and analytics solutions.
• Validate Kafka topics, producers, consumers, connectors and event-streaming workflows.
• Develop reusable automated data-validation scripts and utilities using Python and SQL.
• Execute functional, integration, regression, data migration, database and production-readiness testing.
• Prepare test strategy, test plans, test cases, test data, traceability, defect reports and test completion reports.
• Participate in Agile ceremonies, release planning, defect triage, root-cause analysis and continuous quality improvement.

Conocimientos

SQL

Python

APIs testing

Kafka

Data testing

ETL testing

Educación

Bachelor's degree

Herramientas

PyTest

Postman

Snowflake

Databricks

GitHub Actions

Descripción del empleo

Job Title: Automotive Data Engineering Tester

KEY RESPONSIBILITIES :

Validate end-to-end vehicle-to-cloud data pipelines across ingestion, processing, storage and consumption layers.

• Perform source-to-target validation for ETL and ELT workflows, including mappings, transformation rules, reconciliation and exception handling.
• Test batch and near-real-time processing for accuracy, completeness, sequencing, duplication, latency and data loss.
• Validate Connected Vehicle and telematics datasets such as vehicle health, GPS/location, fuel consumption, driver behaviour, diagnostic trouble codes, powertrain, EV battery and OTA campaign data.
• Test REST APIs, microservices and integrations between vehicle systems, telematics platforms, cloud services, enterprise applications and analytics solutions.
• Validate Kafka topics, producers, consumers, connectors and event-streaming workflows.
• Develop reusable automated data-validation scripts and utilities using Python and SQL.
• Execute functional, integration, regression, data migration, database and production-readiness testing.
• Prepare test strategy, test plans, test cases, test data, traceability, defect reports and test completion reports.
• Participate in Agile ceremonies, release planning, defect triage, root-cause analysis and continuous quality improvement.

REQUIRED SKILLS AND EXPERIENCE

• 4-8 years of experience in data testing, ETL testing, data engineering testing or quality engineering.
• Strong hands-on SQL skills, including complex queries, joins, reconciliation and database validation.
• Experience testing ETL/ELT pipelines, data warehouses, data lakes and high-volume data platforms.
• Working knowledge of Python and a test automation framework such as PyTest.
• Experience with REST API testing using Postman or equivalent tools.
• Knowledge of Kafka or a comparable event-streaming platform.
• Experience with relational databases such as PostgreSQL, SQL Server or MySQL.
• Exposure to AWS, Microsoft Azure or Google Cloud Platform.
• Understanding of data-quality dimensions including accuracy, completeness, consistency, uniqueness, validity and timeliness.
• Experience working in Agile/Scrum and DevOps delivery environments.

AUTOMOTIVE DOMAIN KNOWLEDGE

Automotive Data Engineering Tester | HR-Ready Job Description

JOB DESCRIPTION | AUTOMOTIVE & CONNECTED VEHICLE

• Connected Vehicle and telematics platforms
• Vehicle-to-cloud data flows and vehicle signal data
• Vehicle diagnostics and Diagnostic Trouble Codes (DTCs)
• Over-the-Air (OTA) software and firmware updates
• CAN / CAN-FD and UDS diagnostics
• Fleet management and commercial or passenger vehicle platforms
• Software Defined Vehicle concepts

PREFERRED TECHNICAL SKILLS

• Snowflake and Databricks
• GitHub and GitHub Actions
• AWS S3, Lambda, Glue and IAM
• CI/CD and DevOps tooling
• Azure Data Factory or equivalent
• MongoDB or another NoSQL database
• Performance testing of data pipelines

EDUCATION AND CERTIFICATIONS

• Bachelor's degree in Computer Science, Information Technology, Data Engineering, Electronics, Automotive Engineering or a related discipline.
• ISTQB certification is preferred.
• AWS, Azure, GCP, Snowflake or Databricks certification is an advantage.

KEY COMPETENCIES

• Analytical thinking and structured problem solving
• Attention to detail and a strong data-quality mindset
• Debugging, defect triage and root-cause analysis
• Ownership of test deliverables and quality outcomes
• Clear communication and effective cross-functional collaboration

GOOD TO HAVE

• Experience with automotive OEMs, Tier-1 suppliers or commercial vehicle organisations.
• Exposure to Digital Twin, AI/ML data validation or Software Defined Vehicle programmes.
• Awareness of ISO/SAE 21434, UNECE R155 and UNECE R156.