Data Engineer


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https://www.swanitrecruitment.co.za/362/job2025-06-19 15:01:241970-01-01 Swan IT Recruitment South Africa
Job Type Permanent
Area Johannesburg, South AfricaGauteng, South Africa Johannesburg South Africa
Sector IT - Data
Salary Market Related
Start Date Approximately 1 month
Job Ref VR/26520
Description

Are you a Data Engineer in Gauteng looking for a new position? Look no further!


Our client in the financial industry is searching for a Data Engineer to join them in Central Johannesburg.


Responsibilities:



  • Design, build and maintain scalable and reliable data pipelines to process large volumes of data from various sources.

  • Develop and maintain data models, databases, and data warehouses to support the analytic teams reporting needs.

  • Ensure data quality and accuracy by implementing data validation and monitoring processes.

  • Collaborate with data scientists, analysts, and other stakeholders to understand their data needs and provide solutions to support their work.

  • Excellent written and verbal communication skills; with the ability to explain complex problems in a simple and effective manner.

  • To design and build highly available, scalable, and fault-tolerant data infrastructure to support data processing.

  • Develop and maintain infrastructure automation tools, deployment pipelines, and monitoring systems.

  • Core to this is the team’s collaboration with other engineers, data scientists, and analysts to ensure the availability and performance of the data infrastructure.

  • We evaluate new data technologies and tools that enhances the performance and reliability of the data infrastructure and drive adoption of these technologies within the bigger data community.


Requirements:



  • Bachelor's degree in Computer Science, Engineering, or a related field.

  • Minimum of 6 years of experience in data engineering.

  • Proficiency in at least one programming language (Python, C#, etc.) and SQL.

  • Proven experience with data modelling, ETL processes, and data warehousing.

  • Experience with cloud platforms such as AWS, GCP, or Azure

  • Understanding of data processing technologies and data management principles

  • Familiarity with data technologies such as Synapse, Databricks, DeltaLake, and AirFlow


Apply today!

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