Senior Data Engineer - Part-Time

• Bachelor’s degree in computer science, Information Technology, Computer Engineering, or related field
• Minimum 3 years of relevant experience in data systems architecture, data systems integration, and data pipeline setup at production scale
• Good understanding of cloud computing principles including infrastructure as code, containerisation, microservices architecture, cloud security frameworks, identity and access management, network architecture, and distributed systems
• Proven ability to translate business requirements into technical solutions
• Excellent communication skills for presenting complex concepts to diverse audiences
• Experience with cloud security frameworks, compliance requirements, and risk management
• Experience in data domains (e.g. DataOps, Data Lakehouse) and AI/ML Domains (e.g. MLOps, LLMOps)
• Strong Knowledge and Hands-on experience with SQL, Python and Apache Spark
• Hands-on experience with Apache Kafka, Airflow, or similar technologies

Good to Have:

• Proficiency in Amazon Web Services (AWS) services
• Relevant cloud certifications (e.g. AWS Solutions Architect Professional, AWS Data Engineer Associate) would be an advantage
• Experience with Data & AI cloud-native services (e.g. Amazon Sage Maker Unified Studio, Amazon Quick Suite, AWS S3, AWS Glue, AWS Lake Formation, AWS Bedrock, AWS Agent Core).
• Familiarity with serverless computing, edge computing, and IoT architectures would be an advantage.
• Experience with machine learning operations (MLOps) and ML model deployment pipelines
• Knowledge of data governance frameworks and metadata management tools  Familiarity with data visualization tools and business intelligence platforms