Design and implement scalable data pipelines using Apache Spark, Scala, and Java
Develop and maintain data architectures for batch and real-time processing
Collaborate with cross-functional teams to identify and prioritize project requirements
Optimize data processing performance, scalability, and reliability
Ensure data quality, security, and compliance
Mentor junior data engineers and contribute to knowledge sharing
Stay up-to-date with industry trends and emerging technologies
Requirements:
Relevant Degree
6+ years of experience in data engineering (Spark, Scala, Java)
Apache Spark (Core, SQL, Streaming)
Scala programming language
Java (Java 8 and above)
Gradle build tool
Data architectures (batch, real-time, lambda)
Data storage solutions
Big Data technologies (Hadoop, Hive, Impala)
Cloud platforms (AWS, Azure, Google Cloud)
Agile development methodologies
Version control systems (Git)
Excellent problem-solving, analytical, and communication skills
Advantage to Have:
Apache Kafka, Apache Flink, or other streaming technologies
NoSQL databases (MongoDB, Couchbase)
Data science concepts (machine learning, R, Python)
Containerization (Docker)
Orchestration tools (Apache Airflow, Kubernetes)
Certification in Spark, Scala, or Java development
Familiarity with DevOps practices
If you are up to the task, apply directly with me on the email provided below!For more IT jobs, please visitIf you have not had any response in two weeks, please consider the vacancy application unsuccessful. Your profile will be kept on our database for any other suitable roles / positionsFor more information contact: LaReine Mulder Specialist Recruitment Consultant011 622 9526Network FinanceRecruiter
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