Senior Software Development Engineer Test

mthree is looking for a

Senior Software Development Engineer Test (DW QA) for a global technology company in the payments industry to join the team that’s focused on building ALM Services with Data warehouse skills. The client empowers real-time card level decisioning. As consumers progress along their life stages as card holders, with increasing disposable income and more refined preferences, ALM provides services to issuers so they can effectively offer more relevant benefits and rewards at each stage, to drive loyalty and spend.

Role:

• Support Development, and maintain automated test frameworks, tools, and test cases for Data Engineering and Data Warehouse applications.
• Collaborate with cross-functional teams, including software developers, data engineers, and data analysts, to ensure comprehensive testing coverage and adherence to quality standards.
• Conduct thorough testing of data pipelines, ETL processes, and data transformations using Big Data technologies.
• Apply your knowledge of Data Warehouse/Data Lake methodologies and best practices to validate the accuracy, completeness, and performance of our data storage and retrieval systems.
• Identify, document, and track software defects, working closely with the development team to ensure timely resolution.
• Participate in code reviews, design discussions, and quality assurance meetings to provide valuable insights and contribute to the overall improvement of our software products.

Base Skill Requirements: Must Have Technical

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 5-9 years of experience in software testing and development, with a focus on data-intensive applications.
• Proven experience in testing data pipelines and ETL processes - Test planning, Test Environment planning, End to End testing, Performance testing.
• Solid programming skills in Python - proven automation effort to bring efficiency in the test cycles.
• Solid understanding of Data models and SQL .
• Must have experience with ETL (Extract, Transform, Load) processes and tools (Scheduling and Orchestration tools, ETL Design understanding)
• Good understanding of Big Data technologies like Spark, Hive, and Impala.
• Understanding of Data Warehouse methodologies, applications, and processes.
• Experience working in an Agile/Scrum environment, with a solid understanding of user stories, acceptance criteria, and sprint cycles.

Optional Technical Skills

• Experience with scripting languages like Bash or Shell.
• Experience working with large-scale datasets and distributed data processing frameworks (e.g., Hadoop, Spark).
• Familiarity with data integration tools like Apache NiFi is a plus.
• Excellent problem-solving and debugging skills, with a keen eye for detail.
• Strong communication and collaboration skills to work effectively in a team-oriented environment.
• Eagerness to learn and contribute to a growing team.