LUKA GLOBAL

Data Engineer

• Develop scalable data management and data processing architectures.
• Manage data acquisition from API, batch, event or streaming sources.
• Develop processes for data aggregation.
• Design and develop data pre- and post-processing stages.
• Plan and design for data governance, security, provenance and the over-all data lifecycle.
• Leverage best-in-class cloud technologies to cater for OLTP and OLAP business needs.
• Integrate ML models and Analytic components into the workflows (including MLOps).
• Work closely with Data Science and Application Development teams in an agile development process.