About KGeN:
KGEN is building the world’s largest verified distribution protocol powered by Web3, driving UA, commerce, and loyalty ecosystems. Since its founding by global leaders in the gaming and consumer industries, KGeN has grown to become the dominant leader in the Global South.
Today, we serve 21.7M+ consumers and boast 4.9M+ monthly active users, supported by 190+ revenue partnerships across Gaming, AI, and DeFi projects. As of March 2025, our annualised revenue has surpassed $26.5M, reflecting the strength and scalability of our protocol.
KGeN’s proprietary POG-E Augmented LLM is fed with 445M+ attributes, garnering unparalleled insights into our user base. We’ve also built our proprietary POG engine that allows users to build, own, flex & monetise their reputation. As of today, over 1.5M onchain identities have been minted globally, also known as POGs.
Role Description
We are looking for a highly skilled AWS Data Engineer to join our growing Data Engineering team. In this role, you will play a pivotal part in designing, building, and maintaining scalable data pipelines and infrastructure using AWS services. You will work closely with data scientists, analysts, and platform teams to ensure seamless data availability, reliability, and security.
Key Responsibilities:
- Design, develop, and maintain scalable ETL processes using AWS Glue.
- Create and manage data lakes on AWS S3 to store structured and unstructured data.
- Utilize AWS Athena for ad-hoc querying and data analysis.
- Implement and manage AWS Lambda functions for data processing and automation.
- Develop data processing workflows using PySpark.
- Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions.
- Monitor and optimize data pipelines for performance and cost-efficiency.
- Ensure data quality and integrity through rigorous testing and validation processes.
- Implement data security best practices to protect sensitive information.
- Stay up-to-date with the latest trends and best practices in cloud data engineering and gaming industry.
Qualifications:
- Bachelor’s degree in Computer Science, Information Technology, or a related field.
- 2+ years of experience as a Data Engineer, preferably in a AWS cloud environment.
- Proficiency in AWS services, particularly AWS Glue, Athena, S3, Lambda, and PySpark.
- Strong SQL skills and experience with relational databases.
- Experience with data modeling, ETL processes, and data warehousing concepts.
- Proficiency in programming languages such as Python.
- Familiarity with data visualization tools like AWS QuickSight or Tableau is a plus.
- Strong problem-solving skills and attention to detail.
- Excellent communication and collaboration skills.
- Experience in the gaming industry is a plus but not required.
