Data Engineer

A company redefining sports and gaming entertainment across Africa, creating platforms that bring millions of users closer to the games they love.
$NaN
Data
Mid-Level Software Engineer
Hybrid
4+ years of experience
Gaming

Description For Data Engineer

KingMakers is revolutionizing sports and gaming entertainment across Africa since 2018. As a Data Engineer, you'll join a dynamic team focused on enhancing the Data Platform that supports millions of users. The role demands expertise in Python, Spark, and Azure data services, with responsibilities spanning from designing scalable ETL infrastructure to ensuring data security and quality. With 4+ years of experience required, you'll work in a hybrid environment, collaborating globally while enjoying comprehensive benefits. The company offers a culture of innovation, continuous learning, and real impact, making it an ideal place for those passionate about data engineering and sports entertainment. You'll be instrumental in shaping the future of gaming technology while working with exceptional talent in a fast-paced, growth-oriented environment that values both technical excellence and creative problem-solving.

Last updated a month ago

Responsibilities For Data Engineer

  • Design and oversee a highly robust and scalable Data Lake/ETL infrastructure with data pipeline for streaming and batch processing
  • Maintain fault-tolerant systems with automated data quality monitoring and alert systems
  • Enhance systems by addressing recurring issues and optimizing performance and scalability
  • Prioritize privacy and data security in all initiatives
  • Create and maintain documentation for the Data Platform stack
  • Collaborate with stakeholders to produce high-value data products
  • Work with partners to gather insights and shape platform requirements

Requirements For Data Engineer

Python
Kafka
  • Bachelor's degree in Computer Science, Software Engineering, or related field
  • 4+ years of experience in data engineering
  • Strong programming skills in Python and Spark (PySpark / Databricks)
  • At least 2 years of experience with Databricks and Azure data services
  • Proficient in managing data quality, monitoring and alerting
  • Remote working experience
  • Excellent communication skills
  • Strong problem-solving abilities and attention to detail

Benefits For Data Engineer

Medical Insurance
  • Private Health Insurance
  • Extra Time Off including birthday
  • Hybrid Work (2 days office, 3 days remote)
  • Team Activities
  • Office Perks (free snacks, coffee)
  • Performance Bonuses
  • Global collaboration opportunities
  • Career development opportunities

Interested in this job?

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