Senior Data Engineer Cape Winelands: Stellenbosch - Stellenbosch
Network IT
Reference: BIT002671-Cha-1 Our client is looking for a new member of the data team as a Senior Data Engineer to help execute the credit scoring roadmap. The ideal candidate must balance analytical diligence with a willingness to learn and innovate. Required Qualifications: Bachelor's or Honors degree in Computer Science, Software Engineering, Information Systems, or a related field. 4 to 5 years of experience in data engineering, database administration, or a related field. Proficiency in SQL and experience with relational databases such as MySQL, PostgreSQL, or Oracle. Experience with data warehousing and ETL tools such as Apache Airflow, Talend, or Informatica. Knowledge of data modeling, data architecture, and database design principles. Strong programming skills in languages such as Python, Java, or Scala. Understanding of distributed systems, cloud infrastructure, and big data technologies such as Hadoop, Spark, or Kafka. Knowledge of data governance, data privacy, and regulatory compliance is a plus. Excellent communication and collaboration skills, with the ability to work effectively in a team environment. Key Responsibilities Data Architecture and Modeling: Design and develop data architectures that support the organization's data needs. Design and optimize data models to ensure efficient datastorage, retrieval, and analysis. Develop and maintain data dictionaries, data lineage, and metadata. ETL Development and Maintenance: Develop and maintain ETL processes to extract, transform, and load data from various sources into data warehouses and data lakes. Monitor and troubleshoot ETL processes to ensure timely and accurate data processing. Optimize ETL processes for performance, scalability, and maintainability. Database Design and Administration: Design, implement, and maintain databases to support the organization's data needs. Ensure the security, availability, and reliability of databases through monitoring, backup, and recovery procedures. Tune database performance to improve query speed and reduce downtime. Develop and maintain database documentation and data dictionaries.
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