Lead Senior Automation Test Engineer

San Francisco, California

Sigmaways
Apply for this Job
We are in search of a Lead Senior Automation Test Engineer to design, build, and test automated frameworks. This role focuses on coding reusable components and integrating test frameworks to ensure quality outcomes.

Key Responsibilities:
  • Identify and design essential tests to guarantee the quality of data and pipelines.
  • Lead testing automation strategies and oversee their successful implementation.
  • Create and maintain efficient data pipelines that ingest, transform, catalog, and deliver quality data from multiple sources into the Common Data Platform, enabling detailed business analysis.
  • Possess a strong understanding of data architecture, information security, and data governance, while developing processes that uphold standards.
  • Proactively troubleshoot and resolve issues within data pipelines and analytical data stores.
  • Implement monitoring and alerting systems for data pipelines and stores, leveraging automated remediation wherever feasible to maintain system reliability.
  • Adopt a security-first and automation-first approach by adhering to best practices in data engineering.
  • Collaborate within an Agile delivery squad, engaging actively in various Agile rituals and following Scaled Agile methodologies.
Qualifications:
  • A Bachelor's degree in computer science, Information Systems, or a related field is typically required.
  • At least seven years of experience in test automation, data science, or software engineering.
  • Minimum of 2 years working with a modern data stack, which includes object stores like S3, Spark, Airflow, and Lakehouse architectures.
  • 2+ years of experience using automated test tools such as Great Expectations, Lambda Test, Selenium, and Cucumber.
  • A background as a Senior Data Engineer, with thorough knowledge of the technology landscape and functional objectives.
  • Experience in building end-to-end data pipelines to process unstructured or semi-structured data using Spark architecture.
  • Familiarity with data engineering and knowledge of the Big Data ecosystem is preferred.
  • A strong drive and enthusiasm to tackle challenges and opportunities within a large, complex, and visible program.
  • Understanding of various automation strategies and methodologies for testing data, applications, and CI/CD infrastructure.
  • Commitment to mutual respect, and a dedication to embracing diversity, equity, and inclusion while acting with authenticity.
Date Posted: 06 May 2025
Apply for this Job