Data Quality Engineer

Skills

Effectively work in a fast paced environment utilizing the Agile methodology • Develop and maintain functional automation test scripts utilizing modular frameworks and best practices • Execute test scripts to validate correct functionality of application • Use SQL for back-end database validation • Perform various types of testing including smoke white box black box integration end-to-end regression and system testing as needed • Participate in requirement & design review sessions; evaluate requirements & design docs from a quality test automation standpoint • Manage test coverage based on risk analysis • Document defects and evaluate priority of defect based on overall application functionality • Coordinate test script reviews with stakeholders as appropriate. • Adhere to requirement review defect writing & test script writing guidelines • Ensure completion of all deliverables within schedule budget and quality constraints. • Participate in Root Cause Analysis sessions • Ensure that projects follow prescribed software development life cycle standards. • Develop and maintain good relationships with project team. • Multi-task to meet assignment deadlines • Accurately estimate work assignments • Show assertiveness • Identify obstacles and roadblocks; and offer suggestions to work around obstacles • Help drive and improve QA process within the team you are assigned

Description

The highly experienced quality professional who works under supervision , learns quickly , and brings ideas and passion to their daily responsibilities and executes work to completion with excellence in a timely manner.

Responsibilities

• Skills: SQL (must-have), Databricks, Python, and Pyspark. Experience creating/implementing test plans
• • 6+ years of QA experience
• • Experience working with CI tools (Jenkins, TeamCity, GitLab etc.)
• • Experience with QA processes and deliverables in an Agile/Scrum environment
• • Proficient in defect tracking and analyzing root cause utilizing tools ( Jira , Rally etc.)
• • Strong understanding of automation and performance concepts and approaches
• • Experience working with or on remote teams
• • Understand and utilize risk based testing technique
• • Experience in test environment and test data management
• Specialization/Role Requirements for Automation
• • 3+ years of hands-on testing experience in Data Bricks, spark, pyspark using Python language .
• • 3+ years of hands-on testing experience on Data and ETL workflows using tools like ( Informatica IDQ , DVO etc.)
• • Demonstrated experience in creating and testing mappings ( with transformations like Joiners , Sorters , Filters , Routers etc.)
• • Good understanding of Databases ( relational and non-relational )
• • Experience in ETL and Data frameworks, processes, strategies, and approaches
• • 2+ years of experience in advanced SQL