Data Automation Tester

What roles and responsibilities will be performed by the selected candidate?

• Should be able to handle both manual and automation testing.
• Understand the existing system landscape from a functional/ business and systemic standpoint.
• Interact with product management, project management and development teams to develop a strong understanding of the data existing landscape
• Should be able to identify business requirements including data sources, target systems, transformations required, business rules required to be applied and existing data model from the mapping document.
• Should be able to test complex SQL scripts including Spark SQL
• Develop and lead the automation strategy/effort and generate scripts to perform automated testing cycles using Selenium and Python
• Develop test plans covering test scenarios, test cases and execution, strategies, and procedures for validating data pipelines, data storage, and ETL processes in Azure environments and on prem
• Should be able to do Python scripting using Pandas and such libraries for data comparisons
• Should be able to create frameworks for test data automation using Python Pip/anaconda.
• Should have experience in tools like – Query Surge, ETL validator, Informatica Data validator, etc.
• Proficiency in writing automated test scripts in languages such as Java, Python, or JavaScript
• Managing Code repositories (Git Actions/Azure Pipelines), implementing Continuous testing tool (Git Actions/Azure Pipelines)
• Integrate automated tests into CI/CD pipelines using tools like Azure DevOps.
• Create, maintain, and execute automated test scripts to validate Azure data services such as Azure Data Factory, Azure SQL Database, Azure Synapse Analytics, etc.
• Automate data validation and integrity tests for data ingestion, transformation, and storage.
• Identify, log, and track defects identified through automated testing.
• Work closely with developers to provide clear and detailed bug reports, reproduce issues, and validate fixes.
• Design data quality checks and validation criteria for Azure data services.
• Develop monitoring solutions to proactively detect and resolve data issues.
• Set up alerts to identify data quality issues in real time and ensure prompt resolution
• Identify, report, and track defects related to data quality and performance.
• Work closely with developers, product managers, business analysts, and QA team members to understand features, requirements, and test coverage expectations.
• Participate in agile ceremonies like sprint planning, retrospectives, and stand-up meetings to ensure testing alignment with development cycles.
• Collaborate with data engineering teams to resolve identified issues and prevent regressions.
• Execute regression test and investigate test failures
• Have to work in Agile –SCRUM environment
• Have to be good in Data Analysis.

What is the expectation from the candidate’s current role/profile?

• 2-5 years of experience in core ETL and Data testing with proficiency in manual and automation testing
• Ability to apply business and functional knowledge, to define testing strategy, test approach and test case design.
• Should have excellent SQL skills and clear understanding on data life cycle
• Should have experience in Python scripting and using Pandas and such libraries for data comparisons
• Should have experience in creating/using frameworks for test data automation using Python Pip/anaconda.
• Should have experience in tools like - QuerySurge, ETL validator, Informatica Data validator, etc.
• Proficiency in writing automated test scripts in languages such as Java, Python, or JavaScript
• Managing Code repositories (Git Actions/Azure Pipelines), implementing Continuous testing tool (Git Actions/Azure Pipelines)
• Should have worked as a data automation tester in ETL projects involving multiple layers/stages of database processing with various kinds of sources/targets like files, Oracle, SQL Server, Webservices. Delta Lake etc.…
• Good interpersonal, communication and organizational skills
• The ability to work and team effectively with team and management personnel across geographies
• Flexibility to adjust to multiple demands, shifting priorities, ambiguity, and rapid change
• Should be proficient in database and data warehouse testing
• Experience in Agile/ Devops
• Experience in data migration testing
• Experience with Data bricks and related technology testing
• Knowledge of Software Development Lifecycle including the functional and non-functional test phases
• Good interpersonal, communication and organizational skills
• Must be flexible with working hours, independent and self-motivated
• The ability to work and team effectively with team and management personnel across geographies

Flexibility to adjust to multiple demands, shifting priorities, ambiguity and rapid change

About VRIZE INC,

VRIZE is a Global Digital & Data Engineering company, committed to delivering end-to-end Digital solutions and services to its customers worldwide. We offer business-friendly solutions across industry verticals that include Banking, Financial Services, Healthcare & Insurance, Manufacturing, and Retail. The company has strategic business alliances with industry leaders such as Adobe, IBM Sterling Commerce, IBM, Microsoft, Docker, Sisense, Competera, Snowflake, and Tableau.

VRIZE is headquartered out of Tampa (Florida) with a team size of 410 employees globally, currently, 100% of the clients undertaken are in the United States. Delivery centers are distributed in the US, Canada, Serbia, and India. Having stellar growth and future projections of 100% YOY for the last 3 years, the company has been successfully addressing its clients’ digital disruption needs. Our continued success depends to a large extent on our ability to remain at the forefront of disruptive developments in the field of information technology and leaders/team members joining the force are expected to replicate the same.

VRIZE is an equal-opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, marital status, age, national origin, ancestry, disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law. Individuals with disabilities are provided reasonable accommodation.