Senior Data Quality Engineer, Python, Snowflake, SQL

Role Overview

• Experience with requirement analysis, defect tracking, coordinating with team members in different locations and test reporting and closure
• Should be comfortable in writing complex SQL queries and perform data analysis
• Working knowledge of Relational Database Management System like Oracle, SQL Server and SQL MI
• Knowledge on Cloud and Data Concepts and tools – AWS, Data Lake, Snowflake, Snap logic etc.
• Very good experience in test automation using any established frameworks like in Java or data testing tools like Fitnesse, iCEDQ etc.
• Review test strategies with stakeholders and ensure that all the various kinds of testing like unit, functional, performance, acceptance etc. are getting covered
• Good working experience in scripting languages like Java script, python, Unix, Shell, etc.
• Strong analytical, technical skills to be able to address complex issues.
• Able to review defects on regular basis and perform root
• cause analysis
• Familiarity with Workplace Concepts like DC, DB and SPS
• Experience in working in an Agile software development environment
• Participate in understanding and refinement of User Stories, QA related tasks and test cases, and functional automation, Integrating the automation code with DevOps pipeline for CICD and usage of tools like Jenkins, Udeploy, Concourse etc.
• Implementing QA standard methodologies acquired through prior experience for QA process improvement and Participate in production release deployment verification on a regular cadence
• Must maintain flawless communication and coordination with Partners, Business Analysts, developers and peers for completion of various testing tasks.
• High level of dedication, initiative, vision and enthusiasm

Requirements

• 6+ years of Data QA experience
• 3+ Years of Snowflake QA or similar cloud-based data QA experience.
• Experience writing test automation.
• Degree in Computer Science, Information Technology or Data QA.
• Object oriented/modular QA Testing experience.
• Strong Mathematical/SQL skills for complex formula and logic validations.
• Strong Attention to Detail.
• WI/Fidelity Data and Table Knowledge a plus

Tech Stack

• AWS
• Cloud
• Java
• Jenkins
• Oracle
• Python
• RDBMS
• SQL
• Unix

Benefits

• Effective communication and Interpersonal skills