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3 days ago
We are seeking a talented professional to join our fast-paced AI team as a Big Data Architecture Expert. As part of this role, you will be responsible for designing and developing large-scale data architectures that support machine learning and artificial intelligence model training, validation, testing, and production.
Key Responsibilities:- Design, develop, and maintain secure, reliable, and scalable big data warehouses and lakes to support AI/ML model development.
- Implement end-to-end data processing pipelines, ETL processes, and orchestration workflows to enable efficient data integration and processing for AI/ML models.
- Transform raw data into clean, structured, and high-quality features for AI/ML models – including data labelling, augmentation, feature extraction, version control, validation, cleansing, and deduplication.
- Develop and enforce data governance, security, and compliance measures to safeguard sensitive data assets.
- Create robust monitoring, logging, and alerting solutions for data pipelines and assets to identify performance issues and deliver optimisation improvements.
- 3+ years of hands-on experience in big data warehousing, data lakes, ETL processes, and data modelling.
- Strong programming skills in Python and SQL, with a solid understanding of data processing and manipulation.
- Bachelor's degree or higher in Computer Science, Information Technology, Data Science, Engineering, or a related field.
- Proven experience working with cloud platforms and services such as AWS S3, EMR, Redshift, Glue, and Athena.
- Extensive experience in designing and implementing scalable data processing pipelines, with familiarity in tools like DBT and strong knowledge of database management for ML/AI projects.
- A dynamic, collaborative, and innovative work environment.
- Flexibility with the opportunity to work from home when fully trained in your role.
- A corporate wellbeing program with discounted health insurance and gym membership.
- Access to discounts at over 350 retailers through our Rewards Hub program.
- Entitlement to an annual tenure and performance-based recognition reward.
- Comprehensive learning and development support.
- Companywide events to celebrate success.
- Quarterly Reward and Recognition Awards.
- Up to 16 weeks paid parental leave, plus super.
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