Data Science and Machine Learning Engineer at Sight and Sound Limited

Role

• Data Pipeline development
• Data Integration: ensuring data consistency, quality, and timeliness.
• Data Warehousing: Optimize data warehouse performance for efficient querying and reporting.
• Data Modelling: Develop and maintain data models, including dimensional and relational models, to support data analytics and reporting needs.
• ETL (Extract, Transform, Load)
• Data Quality and Governance: Implement data quality checks and data validation procedures to identify and address data issues.
• Data Security: Implement security measures to protect sensitive data, including encryption, access controls, and data masking techniques.
• Performance Tuning: Optimize database and data processing systems for performance, including indexing, query optimization, and hardware scaling.
• Data Cataloguing and Metadata Management
• Data Versioning and Change Management
• Streaming Data Processing
• Cloud Data Platforms: Work with cloud-based data platforms: Microsoft Azure, or Google Cloud to build and manage data solutions in the cloud.
• Database Administration: backup and recovery, user management, and system monitoring.
• Documentation and Knowledge Sharing: Document data engineering processes, best practices, and solutions for knowledge sharing and team collaboration.

Qualifications and Required Skills

• Education: Bachelor’s degree in computer science, Information Technology, Software Engineering, Data Science, Mathematics or Statistics, Electrical/Electronic Engineering or a related field.
• Equivalent experience may be considered.