Big Data Graduate

As a Big Data Graduate at GiG, your primary responsibilities will involve collating data from various sources, maintaining and enhancing the data platform functionalities, implementing a reload framework for data transactions, and participating in agile scrum meetings. You'll also play a key role in automating data reconciliation processes and contributing to the integration of business and technical concepts within iGaming.

To be considered for the Big Data Graduate position at GiG, you should have a keen interest in learning new technologies and big data principles. Key qualifications include good problem-solving and analytical skills, understanding of coding principles, basic knowledge of Unix commands, and familiarity with CI/CD processes. A passion for the iGaming sector is also beneficial.

GiG is committed to the professional development of its Big Data Graduates by offering exciting opportunities for career growth, mentorship from experienced professionals, and access to the latest technologies and tools in big data. You'll also enjoy a hybrid-working model that promotes work-life balance, enabling you to thrive both personally and professionally.

At GiG, as a Big Data Graduate, you will work with a variety of cutting-edge tools and technologies involved in big data management and analytics. This includes event-driven microservices on a lambda architecture, various data integration tools, and platforms designed to handle high message processing volumes, ensuring a robust learning and operational experience.

GiG prides itself on a dynamic and inclusive company culture that values collaboration, innovation, and continuous learning. As a Big Data Graduate, you'll be part of a supportive team environment where your ideas are encouraged and your contributions make a difference. Enjoy benefits like complimentary office lunches and company social events that foster team spirit.

In your answer, discuss the significance of big data in informing decision-making, enhancing customer experiences, and driving operational efficiency. Highlight how big data technologies enable organizations to process vast amounts of information quickly and make informed choices that positively impact their business strategies.

Detail any academic or project experience you have in data processing and analysis. Mention specific tools or programming languages you’ve used, such as Python, SQL, or Hadoop, and emphasize your analytical skills, showcasing your ability to derive insights from data.

Discuss your understanding of data reconciliation processes, emphasizing the importance of accuracy and integrity. Explain the steps you would take: identifying discrepancies, employing automated scripts, and running validation checks to ensure data consistency.

Explain CI/CD (Continuous Integration/Continuous Delivery) principles and their role in enabling quick and reliable deployments. Highlight how these practices ensure that changes are tested and integrated efficiently, which is especially crucial in big data environments where data is constantly updated.

Illustrate your problem-solving approach by outlining steps such as identifying the issue, researching potential solutions, collaborating with team members for insights, and systematically testing your solutions. Use examples from previous projects or coursework to demonstrate your skills.

List the programming languages you're familiar with, highlighting any relevant coursework or projects you've completed. Emphasize languages frequently used in data management like Python, Scala, or R, and discuss how you've applied them in real-world scenarios.

Share a specific example where you successfully learned a new technology. Explain the resources you used for learning, how you applied that knowledge, and the outcome. This showcases your adaptability and eagerness to embrace challenges.

Discuss the importance of data quality in big data environments. Outline techniques you would apply, such as data validation, thorough testing, and continuous monitoring, to ensure that the data remains accurate and reliable over time.

Explain your understanding of agile methodologies and the importance of feedback loops. Urge that you're open to constructive criticism and dynamic changes, highlighting your flexibility and commitment to collaboration in achieving team goals.

Share your passion for the iGaming industry by discussing its innovative technologies and rapid growth. Express your excitement about the unique challenges it presents and how you envision contributing to the overall success of GiG in this vibrant sector.