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- Tasks: Join us as a Data QA Engineer to ensure top-notch quality in our data services.
- Company: Live Nation Entertainment is the global leader in live events and eCommerce.
- Benefits: Enjoy remote work, generous vacation, healthcare, tuition reimbursement, and access to free live events.
- Why this job: Be part of a dynamic team driving innovation in data analytics and quality assurance.
- Qualifications: Experience with Python, SQL, and cloud services; passion for data quality is essential.
- Other info: We celebrate diversity and support your personal and professional growth.
The predicted salary is between 36000 - 60000 £ per year.
QA Engineer II – Data Discovery and Test page is loaded## QA Engineer II – Data Discovery and Testlocations: Work From Home – UKtime type: Full timeposted on: Posted Todayjob requisition id: JR-81680Job Summary:Job Title: Data QA EngineerLocation: Remote (UK)Live Nation Entertainment is the world’s leading live entertainment and eCommerce company, comprised of four market leaders: Ticketmaster.com, Live Nation Concerts, Front Line Management Group and Live Nation Network. is the global event ticketing leader and one of the world’s top five eCommerce sites, with over 26 million monthly unique visitors. Live Nation Concerts produces over 20,000 shows annually for more than 2,000 artists globally. Front Line is the world’s top artist management company, representing over 250 artists. These businesses power Live Nation Network, the leading provider of entertainment marketing solutions, enabling over 800 advertisers to tap into the 200 million consumers Live Nation delivers annually through its live event and digital platforms. For additional information, visit .Passionate and motivated. Driven, with an entrepreneurial spirit. Resourceful, innovative, forward thinking and committed. At Live Nation Entertainment, our people embrace these qualities, so if this sounds like you then please read on!**THE TEAM**Core Data Services team is at the center of Data and Analytics initiatives. We are building a modern data platform to support enterprise data needs. Our mission and yours too should you choose to, is to empower and enable our data community of data engineers, data scientists, analysts, product teams and decision makers to create value.The Core Data Services team consists of Platform Engineering, Data Engineering, Data Enablement and Operations teams. We are building a highly functional, performant modern enterprise Data Lake while supporting our current data platforms so the focus is on maximizing functionality, creating value and content/data assets, cost optimizations and usability of the data delivery and services and all this is our measure of our success and defines us The Core Data Services Team! We are looking for a Data QA Engineer, **You!****WHAT THIS ROLE WILL DO*** Document use-case based validation plans and testing strategies designed to prevent defects* Maintain comprehensive regression test suites* Develop automation tests for Core Data Platform services and tools using Python, Apache Spark, Delta Lake, AWS S3 etc.* Participate in building our internal testing framework* Influence the service development process towards quality-centric methodologies* Help develop and maintain quality standards that support the SDLC for data pipelines development to release* Analyze requirements to understand positive, negative, and edge test scenarios* Execute functional and regression tests; log all technical issues in JIRA for service enhancements* Serve as a quality advocate on Data Engineering teams to ensure that Test Driven Development processes are being followed**TECHNICAL SKILLS/COMPETENCIES*** Agile development methodologies using the Atlassian suite: Jira, Confluence* Good understanding of Data Lakes, Data Warehouses* Software development, coding expertise in the Data Science field using Python/Spark/Scala/R/Java* Any visualization experience is an advantage* Experience using ANSI SQL and Spark SQL is key to have* Working knowledge of any of these : Databricks, Snowflake, Teradata, Oracle, Google BigQuery, Hadoop and related stacks* An understanding of cloud services such as Amazon AWS, Google GCP or Microsoft Azure* An understanding of streaming (Kafka) and batch based data sources* An understanding of diverse data sources and data formats (xml, json, yaml, parquet, avro, delta) and respective use cases* An excellent understanding of the nuances that add complexities around data various data formats, data types, business logic, data pipelines, and data transformation* Experience using version control systems such as Git and CI/CD workflows and practice## Equal OpportunitiesWe are passionate and committed to our people and go beyond the rhetoric of diversity and inclusion. You will be working in an inclusive environment and be encouraged to bring your whole self to work. We will do all that we can to help you successfully balance your work and homelife. As a growing business we will encourage you to develop your professional and personal aspirations, enjoy new experiences, and learn from the talented people you will be working with. It’s talent that matters to us and we encourage applications from people irrespective of their gender identity, race, sexual orientation, religion, age, disability status or caring responsibilities.*Recognized for seven years as a Great Place to Work and named one of Fortune’s World’s Most Admired Companies, Live Nation Entertainment is the world’s leading live entertainment company comprised of global market leaders: Ticketmaster, Live Nation Concerts, and Live Nation Media & Sponsorship. Our world-class teams specialize in all aspects of the live entertainment industry, from ground-breaking innovations in ticketing, global venue development and operations, concert promotion and production, sales and brand partnerships, and unparalleled artist management supported by professionals in all facets of corporate operations. We believe in taking care of the countless employees helping artists bring live music to fans all around the world. Our many unique benefit programs are designed to help our teams live life to the fullest including generous vacation, healthcare, retirement benefits, student loan repayment, tuition reimbursement, six months of paid caregiver leave for new parents including fostering and perks like Roadie Babies helping new parents care for their babies on work trips. And of course, access to free live events through our exclusive employee ticketing program. There is no bigger stage for your career. See what your future looks like at Live Nation Entertainment.* #J-18808-Ljbffr
QA Engineer II - Data Discovery and Test employer: Live Nation
Contact Detail:
Live Nation Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land QA Engineer II - Data Discovery and Test
✨Tip Number 1
Familiarise yourself with Agile methodologies and tools like Jira and Confluence, as these are crucial for the QA Engineer role. Being able to demonstrate your experience with these tools during interviews will show that you can seamlessly integrate into the team.
✨Tip Number 2
Brush up on your knowledge of Data Lakes and Data Warehouses, as well as SQL skills. Understanding how these systems work will help you articulate your insights and experiences effectively when discussing your technical background.
✨Tip Number 3
Get hands-on experience with automation testing frameworks and tools relevant to the role, such as Python and Apache Spark. Being able to discuss specific projects where you've implemented these technologies will set you apart from other candidates.
✨Tip Number 4
Network with professionals in the data engineering and QA fields, especially those who have experience with Live Nation or similar companies. Engaging with industry peers can provide valuable insights and potentially lead to referrals for the position.
We think you need these skills to ace QA Engineer II - Data Discovery and Test
Some tips for your application 🫡
Understand the Role: Read the job description thoroughly to understand the specific responsibilities and requirements for the QA Engineer II position. Tailor your application to highlight relevant experiences and skills that align with the role.
Highlight Technical Skills: Make sure to emphasise your technical competencies, especially in Python, Apache Spark, and SQL. Provide examples of how you've used these technologies in past projects or roles to demonstrate your expertise.
Showcase Your Experience: Include specific examples of your experience with Agile methodologies, data validation, and testing strategies. Mention any relevant projects where you contributed to quality assurance processes or developed automation tests.
Craft a Compelling Cover Letter: Write a cover letter that not only summarises your qualifications but also expresses your passion for data quality and your motivation to work with Live Nation Entertainment. Make it personal and engaging to stand out from other applicants.
How to prepare for a job interview at Live Nation
✨Understand the Role
Make sure you thoroughly understand the responsibilities of a Data QA Engineer. Familiarise yourself with the specific tools and technologies mentioned in the job description, such as Python, Apache Spark, and AWS S3. This will help you demonstrate your knowledge and enthusiasm during the interview.
✨Prepare for Technical Questions
Expect technical questions related to data validation, testing strategies, and automation. Brush up on your coding skills, especially in Python and SQL, as you may be asked to solve problems or write code on the spot. Practising common algorithms and data structures can also be beneficial.
✨Showcase Your Experience
Be ready to discuss your previous experience with data pipelines, regression testing, and any relevant projects you've worked on. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your contributions effectively.
✨Ask Insightful Questions
Prepare thoughtful questions about the team, the company's data initiatives, and the challenges they face. This shows your genuine interest in the role and helps you assess if the company is the right fit for you. Questions about their testing frameworks or how they ensure quality in their data processes can be particularly insightful.
