Freelance Python Data Analysis Jobs in Lancaster, SC

SDET – QA Automation Engineer, Benchmark & Index Management

Key Functions:

As a SDET – QA Automation Engineer in Benchmark & Index Management the individual will be responsible for the Automation of Quality Assurance (QA) through a variety of test strategies for business-critical applications, developing high-quality test software. The candidate will have experience in automated testing solutions for business problems that involve complex User Interfaces, data intensive operations and process hand-offs, and will be required to provide technical expertise, ownership and responsibility in the end-to-end software delivery cycle.

Key Responsibilities:

• Contributes and leads testing through high-quality functional and automation test scenarios
• Identifies, prioritises, and performs tasks in the software development lifecycle
• Develops tools and applications required for automation by producing clean, efficient and scalable code utilising Python-based test frameworks
• Automate tSQL Stored Procedure regression, component and unit tests using tSQLt and pytest
• Utilise Generative AI and Machine Learning to validate and detect anomalous data, predict inefficient processes and implement automatic test case generation
• Perform database and process performance testing using a combination of benchmarking frameworks and AI-based anomaly and drift detection
• Advocate for and implement engineering guidelines for excellence, including automation, code reviews, and continuous integration/continuous delivery (CI/CD)
• Ensures high quality, reliable products through the implementation of automated regression test frameworks
• Collaborates closely with business and engineering partners to deliver products, services, enhancements and solutions to meet customer needs and align with goals of the business and engineering lines
• Communicates with clarity, precision, and influence, presenting complex information in a clear and concise format that is appropriate for the audience
• Drive a culture of engineering excellence through mentorship, peer reviews, and promoting standard methodologies in software automation testing
• Continuously evaluate and enhance QA processes to improve efficiency, reduce cycle times and enhance overall product quality

Experience & Skills:

• Over 9+ years proven experience as a Software Developer in Test, designing, implementing and recording test results through automation in large-scale data intensive platforms
• Strong experience in test case design, performing automation testing using python frameworks
• Proficiency in QA and Test Automation suites and technologies (e.g. pytest, pandas)
• Significant experience of MS-SQL or PostgreSQL, including data analysis, setup and execution of test scripts (e.g. Liquibase, Flyway)
• Proficiency in Python required for analysis and automation of test scenarios
• Experience using AI/ML and Data Science technologies (e.g. scikit-learn, TensorFlow, PyCaret, etc) for anomaly detection
• Familiarity with performance, security and other non-functional testing approaches (e.g. JMeter, Apache Benchmark, k6, SQL Profiler etc)
• Prior experience of automating the business logic embedded in the back-end and middleware on C#.net / SQL Server with front end on Angular / Silverlight
• Solid understanding of AWS cloud technologies, particularly AWS EC2, preferable knowledge of AWS Native services such as EKS, Lambda, etc.
• Proven ability to deliver high-quality, maintainable code and systems.
• Extensive experience in software engineering principles, CI/CD tools and automation processes
• Strong analytical skills and a problem-solving mentality
• Some experience of Business and Technical Analysis, Delivery Management, and/or Emerging Technology and Governance
• Experience working in an agile environment with a focus on collaboration, automation, and continuous improvement
• Experience with Financial Markets in Equities and / or Fixed Income

Key Attributes:

• Articulate, energetic person able to work alone or as part of a team
• Excellent attention to detail but an ability to think laterally to solve business problems
• Excellent interpersonal skills, both written and verbal, with the ability to work effectively with both technical and non-technical collaborators
• A passion for continuous learning and improving software engineering practices
• Ability to learn quickly, work under pressure and to tight deadlines
• Demonstrated ability to mentor and grow junior engineers
• Creative, results driven, self-motivated and solutions oriented
• Demonstrates a can-do attitude, exhibits self-confidence