What are the responsibilities and job description for the Sr. Test Automation Engineer position at Shimento, Inc.?
Job Details
Sr. Test Automation Engineer
Duration:- 12 Months
Location:- San Francisco, CA 94105 / Hybrid
Qualifications:
- Typically requires bachelor s degree in computer science, Information Systems, or another related field.
- The Test Automation Engineer typically requires four or more years of test automation, data science, or software engineering experience. The Sr. Test Automation Engineer typically requires seven or more years of test automation, data science, or software engineering experience.
- Current full-time personnel with experience working as a Sr./Data Engineer with a good understanding of the associated technology landscape as well as the functional objectives.
- Some domain knowledge of the Supervision and Regulation function and the associated systems.
- Experience with data engineering including knowledge of Big Data ecosystem preferred.
- Strong desire and motivation to take up the potential challenges and opportunities as part of this exciting large and complex program with system wide visibility.
- Understanding of the automation strategies & techniques available for testing data, application, and CI/CD infrastructure.
- 2 years of experience with a modern data stack (Object stores like S3, Spark, Airflow, Lakehouse architectures, real-time databases)
- 2 years of experience with automated test tools (Great Expectations, Lambda test, Selenium, Cucumber)
- Demonstrates mutual respect, embraces diversity, equity and inclusion, and acts with authenticity.
Responsibilities:
- As a member of the Agile delivery squad, actively participate in the various Agile rituals following the Scaled Agile processes and tools set forth by the CDP Program team.
- Determine, coordinate, and create necessary tests to ensure data and pipeline quality.
- Lead design, build and testing of automated frameworks including the coding of reusable components and functions, integration of test frameworks.
- Lead automated test strategies and guide decisions to successful implementation and completion.
- Provide traceability from business requirements and technical specifications to test conditions and defect reports.
- Collect metrics to measure test progress and quality outcomes.
- Coach and mentor others on test criteria, functional test, test automation and quality engineering methods and techniques.
- Design, develop and maintain robust, and efficient data pipelines to ingest, transform, catalog, and deliver curated, trusted and quality data from disparate data sources into Common Data Platform and making it available for comprehensive business analysis.
- Good understanding of data architecture, information security, data governance, develops processes to enforce standards.
- Proactively identifying and resolving issues with data pipelines and analytical data stores
- Deploying monitoring and alerting for data pipelines, data stores and implementing auto remediation wherever possible to ensure the availability and reliability of data systems.
- Employing security, testing and automation first strategy and adhering to data engineering best practices.
- Collaborating with cross-functional teams, including product mgmt., data scientists, analysts, and business stakeholders, to understand their data requirements and provide them with the necessary infrastructure and tools.
- Keeping up with the latest trends and technologies which includes evaluating and recommending new tools, frameworks, and technologies to improve data engineering processes and efficiencies.
- Overall test automation experience across traditional applications and/or ETL & Big Data, either on-prem or Cloud
- Test automaton or engineering experience in AWS (any CFS2/EDS) highlighting the services/tools used.
- Experience building end to end data pipelines to ingest and process unstructured or semi-structured data using Spark architecture
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
