Senior Automation Test Engineer

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 ** 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 *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 *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 **AWS certifications or related cloud/data engineering certifications are a plusJ-18808-Ljbffr

Created: 2025-10-05