Cloud Data Engineering Expert for Gaming Industry
2 weeks ago
About Kratos Gamer Network
We're a revolutionary gaming company, building a multi-chain gamer network that aims to become the home of global gamer data. Our Proof of Gamer (P.O.G) Engine allows gamers to build, own & monetise their reputation, enabling game publishers to engage with precise gamer cohorts through our product stack.
Role Overview
As a talented AWS Data Engineer, you'll help us leverage cutting-edge cloud technologies to drive our data initiatives, creating immersive experiences for players worldwide. We're committed to growth, innovation, and excellence in the gaming industry.
Key Responsibilities:
- Design, develop, and maintain scalable ETL processes using AWS Glue to collect and process vast amounts of data.
- Create and manage data lakes on AWS S3 to store structured and unstructured data, ensuring seamless integration and scalability.
- Utilize AWS Athena for ad-hoc querying and data analysis to gain valuable insights and inform business decisions.
- Implement and manage AWS Lambda functions for data processing and automation, streamlining workflows and improving efficiency.
- Develop data processing workflows using PySpark to handle complex data sets and deliver high-quality results.
- Collaborate with cross-functional teams to understand data requirements and deliver solutions that meet their needs.
- Monitor and optimize data pipelines for performance and cost-efficiency, ensuring data quality and integrity.
- Ensure data security best practices are implemented to protect sensitive information and maintain trust with users.
- Stay up-to-date with the latest trends and best practices in cloud data engineering and the gaming industry.
Requirements:
- Bachelor's degree in Computer Science, Information Technology, or a related field.
- 3+ years of experience as a Data Engineer, preferably in an 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, attention to detail, and excellent communication and collaboration skills.
Estimated Salary: $140,000 - $170,000 per year
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