.Job Title:QA EngineerJob DescriptionWe're Concentrix.
A new breed of tech company — Human-centered.
Tech-powered.
Intelligence-fueled.We create game-changing solutions across the enterprise that help brands grow across the world and into the future.
We are trusted by clients across all major sectors, from up-and-coming success stories to iconic Fortune Global 500 brands in over 70 countries spanning 6 continents.Our game-changers:Challenge ConventionsDeliver outcomes unimaginedCreate experiences that go beyond WOWIf this is you, we would love to discuss career opportunities with you.
In our Concentrix Catalyst team, you will work with the engine that powers the experience design and engineering capabilities at Concentrix.
A leading global solutions company that reimagines everything CX through strategy, talent, and technology.
We combine human-centered design, powerful data, and strong tech to accelerate CX transformation at scale.
You will be surrounded by the best in the world providing market leading technology and insights to modernize and simplify the customer experience.
Within our professional services team, you will deliver strategic consulting, design, advisory services, market research, and contact center analytics that deliver insights to improve outcomes and value for our clients.
Hence achieving our vision.Concentrix provides eligible employees with an opportunity to enroll in many benefit programs, generally including private medical plans, great compensation package, retirement savings plans, paid learning days, and flexible workplaces.
Specific benefits plans will vary by country/region.
We're a remote-first company looking for the absolute best talent in the world.
Experience the power of a game-changing career.Key Responsibilities:Data Quality Assurance:Develop and execute QA strategies for data ingestion processes transitioning from MS SQL Server to Databricks.Utilize PyTest to automate testing scripts ensuring reliable data pipeline functionalities.Technology Implementation:Work proficiently with tools like Python, SQL, Azure, Databricks, Github, and Qlik Replicate to facilitate seamless data transformation.Collaborate closely with data engineering teams to optimize data flow across platforms.Collaboration and Documentation:Collaborate with cross-functional teams to ensure comprehensive testing coverage and quality standards.Document testing processes, outcomes, and key insights for future reference and continual improvement.Qualifications:Extensive experience with Python, SQL, and QA practices in data environments.Strong familiarity with Azure, Databricks, and associated data engineering tools.Proven experience with PyTest and other testing frameworks focused on data reliability and integrity.Demonstrated ability to think critically and implement effective QA strategies in evolving data landscapes