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automotiveMastermind Inc. · 1 day ago

ETL QA Engineer

New York, NY

Full-time

Hybrid

Entry, Mid Level

$70K/yr - $120K/yr

2+ years exp

automotiveMastermind Inc. is a leading provider of predictive analytics and marketing automation solutions for the automotive industry. As an ETL QA Engineer, you will collaborate with Product and Development Teams to ensure the quality of software releases and influence the development of tools for car dealerships in the United States.

AutomotiveCRMMarketingSoftware

Growth Opportunities

No H1B

Responsibilities

Participate in and improve the whole lifecycle of services—from inception and design, through deployment, operation, and refinement

Participate in the release planning process to review functional specifications and create release plans

Collaborate with software engineers to design verification test plans

Design regression test suites and review with engineering, applications, and the field organization

Produce regular reports on the status and quality of software releases and be prepared to speak to findings in an informative way to all levels of audience

Assess the quality, usability, and functionality of each release

Develop and organize QA (Quality Assurance) Processes for assigned projects to align with overall QA goals

Lead and train a dynamically changing team of colleagues who participate in testing processes

Exhibit expertise in handling large scale programs/projects that involve multiple stakeholders (Product, Dev, DevOps)

Maintain a leading edge understanding of QA as related to interactive technologies best practices

Design and implement test automation strategy for multiple product development teams at the onset of the project

Lead efforts for related automation projects, design, and code reviews

Work closely with leadership and IT to provide input into the design and implementation of the automation framework

Work with Architecture, Engineering, Quality Engineering, IT, and Product Operations leaders to create and implement processes that accelerate the delivery of new features and products with high quality and at scale

Develop and contribute to a culture of high performance, transparency, and continuous improvement as it relates to the infrastructure services and streamlining of the development pipeline

Participate in a diverse team of talented engineers globally, providing guidance, support, and clear priorities

Qualification

Quality Engineering experiencePythonAPI testingETL processesCloud TechnologiesSQLNoSQL databasesAgile methodologiesPerformance testingAnalytical skillsCommunication skillsTeam leadershipProblem-solving

Required

Minimum of 2 years of Quality Engineering experience (required)

Hands-on experience with at least 2 of leading testing tools/frameworks including those used for UI automation and API testing

Hands-on experience working on Python and a framework for data quality test automation

Hands-on experience workflow orchestration and data processing tools

Strong analytical skills and ability to solve complex technical problems (required)

API testing - must have understanding of RESTful design and best practices

Hands-on experience testing APIs - both with and without automation tools

Experience working on SQL and NoSQL databases

Experience working on Cloud Technologies preferably Google Cloud Platform (GCP)

Experience with Agile Software Development methodologies and practices

Experience with performance testing and tools

Experience with Azure DevOps or Jira, or another similar issue/bug tracking systems

Experience working in an Agile software development organization

Ability to think abstract – to ensure ability not to conform to the norm. Norms do not find bugs quickly

Ability to work in an advisory capacity to identify key technical and business problems, develop and evaluate

Excellent verbal, written, and interpersonal communication skills

Excellent experience with data ETL (Extract, Transform, Load) processes, including designing and executing tests for source-to-target mapping and data validation

Preferred

Experience with data integration and data cataloging is a plus

Familiarity with large-scale data storage, workflow orchestration, and data integration jobs is a significant plus

Benefits

Health & Wellness: Health care coverage designed for the mind and body.

Flexible Downtime: Generous time off helps keep you energized for your time on.

Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.

Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.

Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families.

Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference.

Company

automotiveMastermind Inc.

Founded in 2012, automotiveMastermind®, part of S&P Global Mobility, is the automotive industry's trusted data and technology provider, driving value through actionable intelligence and personalized experiences.

Founded in 2012

New York, New York, USA

201-500 employees