Outcomes and Activities:

• Develop, maintain, execute and automate test strategies, test plans, test scenarios, and test scripts to validate the proper implementation of user requirements and accuracy of data.

• Conduct performance, integration, and regression testing of data pipelines, data schemas, and transformation rules.

• Contribute to development testing strategy to ensure code quality

• Write unit-tests and validate your software against acceptance criteria

• Author, apply and advocate for team coding, documenting, and testing standards

• Conduct impact analysis to proactively identify impact of a change across multiple applications

• Learn the business process domain to better support the business

• Experiment and test ideas, validate assumptions against needs, reach conclusions and recommend solutions

• Lead code reviews and communicate application changes

• Document code and projects so others can easily understand, maintain and support

• Debug the problems which arise in production and propose effective solutions within the application and across multiple applications

• Read, write and review design documents

• Contribute to team's sprint commitments and actively participate in our Agile practices

• Lead continuous learning activities to improve design and code quality as well as to increase application domain knowledge

• Participate in the talent selection process

• Guide and review the code, designs, and documentation of less experienced automation engineers

• Stay updated with industry trends, emerging technologies, and advancements in ETL, automation and data warehousing domain.

Competencies: The following items detail how you will be successful in this role.

• Development: Develops solutions using standards and best practices of the applications language. Writes code that implements the design that is testable, extensible, efficient, and maintainable.

• Impact Analysis: Understand the rationale behind and how changes impact the enterprise and/or applications and across the technical ecosystem.

• Solution Design: Ability to translate high level requirements to create and implement designs that meet the needs of the customer, are technically sound, maintainable and cost effective. Ability to identify missing or ambiguous requirements. Ability to design at both high and low levels of abstraction, understand complex requirements and translate into understandable solutions. Ability to accurately estimate based on requirements.

• Technical Domain: Have an understanding of the technical domain, including the application architecture, design and data of the application they support and systems to which it interfaces.

• Testing Techniques: Understand the range of testing techniques available well enough to select the most effective test procedures.

Requirements:

• Bachelor's degree in Computer Science, Information Systems, or closely related field of study; or equivalent work experience

• Minimum 5 years of QA Automation engineering experience

• In-depth understanding of ETL concepts, data warehousing principles, and end-to-end testing methodologies.

• Strong expertise in writing SQL queries to retrieve and validate data based on the business requirements.

• Strong understanding and use of one or more object-oriented programming languages and design patterns

• Practical experience in Software Development Life Cycle (SDLC) including Agile/SCRUM and Waterfall

• Practical experience in data modeling, design and messaging

• Experience working on mission-critical enterprise class applications

• Demonstrated ability to coach and mentor less experienced team members

• Understanding of testing services and practices (regression, load, smoke, etc.)

• Minimum of 5 years of experience with automation testing in data warehousing.

• Willingness to participate in an on-call rotation

Preferred Experience:

• Experience in the lead role overseeing technical direction of a team of software engineering talent.

• Advanced understanding of automation testing practices, BDD, Keywords, and Automation services.

• Experience with implementing test automation tools or frameworks.

• Experience with ETL testing tools (e.g. Informatica, dbt, Talend)

• Experience with modern cloud data platforms.

• Experience in testing pipelines for structured, semi-structured, and unstructured data.

• Experience using project tracking tools (e.g. Confluence, ServiceNow, Test Management 2.0)

• Financial services industry experience

Knowledge and Skills:

• Ability to challenge the status quo and influence stakeholders to create innovative solutions

• Be collaborative with other team members, seeking a diversity of thought to meet business outcomes

• Bring a strong understanding of relevant and emerging technologies, provide input and coach team members and embed learning and innovation in the day-to-day

• Ability to communicate complex technical information (both verbal and written) to all levels, including senior leadership

Targeted Total Compensation:$92k+ with an annual bonus plan. Total compensation is comprised of a competitive base salary, equity, and an annual variable compensation package.

INDENGLP

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