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Senior Automation Test Engineer

Senior Automation Test Engineer

Compunnel, Inc.San Francisco, CA, United States
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We are seeking a highly skilled Senior Test Automation & Data Engineer to join a high-impact Agile delivery squad working on complex data engineering and quality assurance projects within a large-scale Common Data Platform (CDP) initiative. The ideal candidate will have a strong background in automated testing frameworks, modern data engineering practices, and experience working with cloud technologies, especially AWS. The role involves developing robust test automation strategies and high-quality data pipelines to support regulatory functions with system-wide visibility.

Job Responsibilities :

  • Actively participate in Agile ceremonies following Scaled Agile methodologies
  • Design, build, and maintain automated test frameworks and reusable test components
  • Coordinate and execute data quality assurance across ingestion, transformation, and delivery stages
  • Lead the development of end-to-end automated testing strategies
  • Design, develop, and maintain data pipelines using Spark, Airflow, and related tools
  • Ensure traceability between requirements and test scenarios, tracking progress with quality metrics
  • Provide mentorship on testing methods, automation techniques, and quality assurance best practices
  • Implement data security and governance best practices
  • Collaborate with cross-functional teams including data scientists, analysts, product managers, and stakeholders
  • Monitor and troubleshoot data pipelines, implementing alerts and auto-remediation
  • Continuously research, evaluate, and recommend modern data tools and frameworks

Required Skills :

  • Bachelor’s degree in Computer Science, Information Systems, or a related field
  • 7+ years of experience in test automation, data engineering, or software engineering
  • 2+ years of experience with modern data stacks (e.g., S3, Spark, Airflow, Lakehouse architectures)
  • 2+ years of experience with test automation tools (e.g., Great Expectations, Lambda Test, Selenium, Cucumber)
  • Proficiency with SQL and data modeling concepts
  • Experience in designing and managing ETL and data pipelines for structured / semi-structured / unstructured data
  • Strong understanding of data governance, information security, and architecture principles
  • Proficient in AWS services such as S3, EC2, Lambda, Data Pipeline, CloudWatch, etc.
  • Excellent analytical, communication, and problem-solving skills
  • Ability to work independently and manage multiple tasks in a fast-paced environment
  • Preferred Skills :

  • Experience with Big Data ecosystems
  • Familiarity with domain areas such as Supervision and Regulation functions
  • Prior experience building data pipelines using Spark on cloud platforms (e.g., AWS)
  • Knowledge of CI / CD automation tools and DevOps best practices
  • Experience in coaching and mentoring technical teams
  • Certifications :

    AWS certifications or related cloud / data engineering certifications are a plus

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