QA Data Engineer- Advanced English

Triade LLC; São Paulo; Presencial; BRL 60.000 - 100.000; Tempo integral

Resumo da oferta

An innovative firm is seeking two QA Data Engineers to enhance their Enterprise Data Platform. In this pivotal role, you will ensure the quality and integrity of data pipelines through rigorous testing and automation. Collaborating closely with data engineers and stakeholders, you'll design effective test strategies and validate both structured and unstructured data. This full-time position offers an exciting opportunity to work with cutting-edge technologies like GCP and automated testing tools, making a significant impact in the realm of data quality and governance.

Qualificações

• Proven experience in data QA or data engineering.
• Strong SQL skills and knowledge of data testing strategies.
• Hands-on experience with ETL/ELT processes.

Responsabilidades

• Design and execute test strategies for ETL/ELT pipelines.
• Validate data and resolve inconsistencies.
• Automate tests and monitor failures in data processes.

Conhecimentos

Data QA

SQL

ETL/ELT Processes

Data Modeling

Automated Data Testing

Python

Ferramentas

Great Expectations

dbt

GCP

Jira

Confluence

SharePoint

Descrição da oferta de emprego

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Overview

We are urgently hiring two QA Data Engineers to join our Enterprise Data Platform (EDP) delivery teams. The ideal candidates will have experience in data testing, automation, and cloud (GCP), and will be responsible for ensuring the quality, integrity, and performance of data pipelines.

Responsibilities

1. Design and execute test strategies and test cases for ETL/ELT pipelines.
2. Validate structured and unstructured data, identifying and resolving inconsistencies.
3. Automate tests and monitor failures in data ingestion and transformation processes.
4. Collaborate with data engineers, analysts, and stakeholders to define quality requirements.
5. Document defects, validation rules, and scalable data governance practices.
6. Conduct regression testing, post-implementation validation, and support root cause analysis.

Requirements

Must-Have

• Proven experience in data QA or data engineering.
• Strong SQL skills and knowledge of data testing strategies.
• Hands-on experience with ETL/ELT processes and data modeling.

Nice-to-Have

• Experience with automated data testing tools (e.g., Great Expectations, dbt).
• Familiarity with GCP (BigQuery, Dataflow, Dataproc, Cloud Storage) and Python.
• Understanding of the client's data and business processes.

Bonus

• Certifications in GCP or software testing.
• Experience with Agile/Waterfall methodologies and tools like Jira, Confluence, and SharePoint.
• Programming skills in Java or Python for test automation.

Additional Details

• Seniority level: Not Applicable
• Employment type: Full-time
• Job function: Engineering and Information Technology
• Industries: IT Services and IT Consulting