Big Data Engineer (Hadoop & Cloud Specialist) – Praesignis (Pty) Ltd

Location: Johannesburg, Gauteng
Company: Praesignis (Pty) Ltd
Job Type: Contract (6 months)
Industry: Banking / Information Technology
Experience Level: Mid-Senior


Job Overview

Praesignis is seeking a Big Data Engineer (Hadoop & Cloud Specialist) to join their Johannesburg team. This role focuses on developing, deploying, and optimising big data applications in both on-premise and cloud environments. The ideal candidate has deep expertise in the Hadoop ecosystem, Spark/PySpark, Python, and cloud platforms (AWS, Cloudera, etc.).


Key Responsibilities

  • Provide advanced support and troubleshooting for Hadoop, Spark, and PySpark environments

  • Develop, deploy, and maintain applications and processes on Hadoop clusters

  • Review, optimise, and enhance code and processes for performance, efficiency, and cost-effectiveness, especially in cloud environments

  • Support on-premise and cloud-based big data systems, ensuring stability, scalability, and security

  • Contribute to cloud migration projects, working with ingestion teams

  • Drive post-migration activities including onboarding, user training, and platform optimisation

  • Collaborate with cross-functional teams to identify gaps, provide technical guidance, and ensure best practices


Required Skills & Experience

  • Strong knowledge of the Hadoop ecosystem (HDFS, YARN, Hive, HBase, etc.)

  • Proven experience with Apache Spark and PySpark

  • Proficiency in Python for data engineering and application development

  • Hands-on experience with cloud platforms (AWS, Cloudera, or equivalent), including networking, security, and cost optimisation

  • Experience reviewing and optimising big data code and processes

  • Ability to design, build, and support scalable big data solutions

  • Strong troubleshooting and problem-solving skills


Preferred Qualifications

  • Experience in migrating workloads from on-premise to cloud

  • Exposure to platform onboarding, user enablement, and training

  • Familiarity with performance tuning and cost optimisation in big data/cloud environments

  • Developer-oriented mindset with focus on long-term platform success and innovation

 

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