Standard Bank is hiring Data Engineer Vacancies

Full Time

Website Standard Bank

The Standard Bank group is a leading financial services provider that supports Africa's growth and development.

Standard Bank is hiring Data Engineer Vacancies in Johannesburg.

Job

Description

  • We are seeking a talented Data Engineer to join our team in Johannesburg, South Africa. As a Data Engineer, you will play a crucial role in designing, implementing, and maintaining our data infrastructure to support advanced analytics and machine learning initiatives.
  • Develop and maintain scalable data pipelines to collect, process, and store large volumes of data
  • Collaborate with data scientists and analysts to understand data requirements and implement efficient data models
  • Design and implement ETL processes to transform raw data into meaningful insights
  • Optimize data systems for performance, reliability, and scalability
  • Implement data quality checks and monitoring systems to ensure data integrity
  • Develop and maintain documentation for data processes and architectures
  • Stay up-to-date with emerging technologies and best practices in data engineering
  • Participate in code reviews and contribute to the improvement of our data engineering practices

Qualifications

  • Bachelor’s degree in Computer Science, Engineering, Statistics, or a related field
  • 5+ years of experience in data engineering or a related field
  • Strong proficiency in programming languages such as Python, R, and SQL
  • Experience with big data technologies like Hadoop and Spark
  • Knowledge of machine learning algorithms and statistical modeling techniques
  • Familiarity with data visualization tools such as Tableau or Power BI
  • Excellent problem-solving skills and attention to detail
  • Strong analytical and organizational abilities
  • Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) is a plus
  • Understanding of data privacy and security practices
  • Knowledge of data governance principles
  • Relevant certifications (e.g., AWS Certified Data Analytics, Google Cloud Professional Data Engineer) are preferred
  • Ability to work efficiently in a fast-paced, collaborative environment
  • Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders