Intermediate Data Engineer

2 weeks ago


Sandton, South Africa Dimension Data Full time
Job Title:

Intermediate Data Engineer


Job Summary:

We are seeking an experienced Intermediate Data Engineer to join our team at Dimension Data. The successful candidate will have a strong background in data processing and archiving, with expertise in SQL and Big Data Analytics.


Key Responsibilities:
  • Design and develop high-quality, custom workflows and analytics solutions.
  • Develop, test, and implement big data solution designs.
  • Collaborate with end users on standardized and best practice approaches.
  • Make suggestions and enhancements on existing solutions.
  • Provide regular and timely feedback to clients on design and build status.
  • Educate requestors as to appropriate and desirable parameters to ensure they get the information they need.
  • Ensure all tasks are updated on agile boards in a timely manner.
  • Assist Project Managers and Change and Training Managers with any project and training related administration tasks.
  • Actively Upskill in relevant technologies as prescribed by team leadership.
  • Integration and execution with Machine-learning models and AI in-flow.
  • Documentation and Design of Solutions.

Requirements:
  • Minimum 4+ years work experience with exposure to data pipeline development and solutions architecture as well as project management/coordination experience.
  • Extensive understanding and application of Python Development and building complex solutions and applications.
  • Extensive understanding and application of Python and data processing and transformation.
  • Strong understanding of Microsoft SQL Server and T-SQL Development.
  • Strong Understanding of Code Optimization.
  • Understanding of Real-Time Data Processing and Streaming.
  • Understanding of Apache Beam.
  • Advantageous
  • Understanding of Apache NiFi and building complex workflows.
  • Understanding of opensource streaming technologies (Apache Spark Streaming, Flink).
  • Understanding of Apache Kafka.
  • Understanding of Apache Spark.
  • Understanding of Apache Hadoop.
  • Competency in Python and developing Spark models.
  • Fundamental understanding of MongoDB.
  • Fundamental understanding of Redis.
  • Fundamental understanding of Databricks.

Qualifications:

B Degree – Computer Science / Engineering.

Hortonworks Certified.



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