⚠️Only available for #residents of #Mexico⚠️
Our client, founded in 1995, is a leading global IT services company offering enterprise digital transformation and modernization solutions across business verticals. They partner with their clients in driving innovation, rethinking workflows, and transforming experiences so businesses can stay ahead in a rapidly changing world. They help shape a bold new area or era of technology led disruption accelerating digital with quality, agility and integrity. They have helped more than 75 global leaders across Telecom, Retail, Banking, Healthcare and Technology Industries deliver excellence for their customers. The company’s global presence enables us to offer offshore, near shore and onshore solutions for our customers. With their world-class infrastructure for employees and people-centric policies, our client is one of the highest-rated digital services companies in Glassdoor ratings. They encourage their employees to thrive in and are committed to providing a work environment that fosters an entrepreneurial mindset, nurtures inclusivity, values integrity and accelerates your career by creating opportunities for promising growth.
The world’s largest home improvement specialty retailer, the client values and rewards dedicated, knowledgeable, and experienced professionals.
They operate over 2,300 retail stores in all 50 states, the District of Columbia, Puerto Rico, the U.S. Virgin Islands, Guam, Canada, and Mexico. All of their associates have one goal: helping their customers build and improve their homes.
Join today and see why they consistently rank as a top Fortune 500 company.
About team:
You will be part of the Inscape QA team that focuses on quality on front-end embedded client/TV and backend cloud services that report high-quality data to customers. The client QA team tests various embedded clients and firmware for various Vizio TVs. The backend QA team is responsible for validating our award-winning Inscape data set, which millions of people use daily. We have top-notch software engineers, but with this much data, occasionally, there are errors. That’s where you come in! We’re looking for detail-oriented testers to use our QA team that validates the Inscape data and alerts us of critical bugs and errors before users are affected.
What you Will do:
🔸 Validates data and ETL pipelines to bring new data into a data warehouse.
🔸Collaborate with cross-functional teams (Product/Data Science/Data engineering) to develop, execute, and automate data testing processes, ensuring that our data assets meet the highest accuracy, completeness, and consistency standards.
🔸Identify and research issues reported by internal and external customers.
🔸Manage defect resolution throughout the lifecycle and ensure issues are resolved before production.
🔸Develop and execute comprehensive data quality tests to identify anomalies, inconsistencies, and data integrity issues for new product development initiatives, product changes, policy changes, and database changes.
🔸Data mining and detailed data analysis on data warehousing systems.
🔸Create formal test plans to ensure the delivery of data-related projects involving applications that use ETL components.
🔸Provide input and support significant data testing initiatives.
🔸Define and track quality assurance metrics such as defects, defect counts, test results, status, and procedures.
🔸Verify data accuracy, completeness, and consistency across various data sources and pipelines.
🔸Create and maintain test data sets for regression testing.
🔸Provide test support for issues requiring code changes or changes made directly to the ETL pipelines.
🔸Implement and maintain an automated testing framework for data validation.
🔸Continuously improve and expand test coverage through automation.
🔸Develop and maintain testing scripts and tools to streamline the testing process
🔸Collaborate with cross-teams to define data validation rules and criteria.
🔸Validate data transformations, aggregations, and calculations to ensure accuracy and reliability.
🔸Maintain comprehensive documentation of data quality issues and resolutions.
🔸Evaluate and transform documentation into test scripts as needed.
🔸Work closely with cross-functional teams, including engineers, project managers, and other subject matter experts, to understand data requirements and validation needs.
🔸Communicate effectively with stakeholders to report on data quality findings, collaborate on improvements, and identify gaps in test coverage.
🔸Schedule or attend peer reviews of test logic to ensure it has been constructed correctly.
🔸Communicate with subject matter experts to research source of issues and proposed resolutions, as well as, loading and examining data, business rules, and editorial policy to determine point of failure.
🔸Perform data testing on new and changed customer output files by reviewing requirements, specifications, and technical design documents and participating in design review meetings.
🔸Create and support data validation scripts for new and existing ETL pipeline changes.
🔸Create visualization dashboards to analyze/monitor data for ETL pipeline changes and flag any defects or anomalies in data from a regression data testing perspective.
🔸Design develop, automation tools to test ETL pipelines.
🔸Write Python scripts in PySpark for data processing and manipulation
About you:
· 2+ years of proven experience in software engineering.
· Bachelor’s degree in computer science, Engineering, or equivalent experience.
· Proven experience as a QA Engineer with focus data/ETL pipeline testing and regression data testing.
· Proven experience with BigData technologies such as Pyspark, Pandas, Spark, Hadoop, and Hive.
· Experience with the creation/maintenance of data validation tools and frameworks • Proficient in Python and AWS tools.
· Knowledge of data modeling concepts and ETL processes.
· Familiarity with data integration and warehousing technologies like Databricks/Snowflake.
· Experience with system integration testing, end-to-end testing, databases, CI/CD pipelines
· Ability to document and troubleshoot errors.
· Strong attention to detail and patience to track down complex issues.
· Possessing an analytical mind, critical-thinking skills, and problem solving aptitude.
· Strong organizational skills and ability to meticulously follow detailed steps.
· Experience in creating robust test plans/strategies and test status for Big Data product deliverables.
· Excellent verbal and written communication skills.
· Willing and able to go above and beyond.
· Ability to work collaboratively across different divisions.
What We Offer:
- Budget 80K MXN per month + Perks
- Flexible Work Environment
- Responsible Paid Time Off Policy
- Work from home for better life/work balance