About the job
Enhancing Data Quality and Reliability:
• Develop and implement advanced methodologies to boost the reliability and quality of data.
• Integrate raw data from diverse sources to form consistent and machine-readable formats.
Structural Development:
• Design, develop, and test data structures that facilitate data extraction and transformation for predictive and prescriptive modeling.
Process Definition:
• Establish and oversee development, testing, release, update, and support processes for data engineering operations. Analyze and resolve code issues effectively.
Big Data Models:
• Create and optimize big data models and use cases based on the established data structure, preparing them for end-user data operations.
Query Execution:
• Formulate and execute queries on both structured and unstructured data sources to diagnose process issues and perform bulk updates.
Feature Layer Development:
• Design and implement the feature zone with essential features and KPIs required by various stakeholders, aiding in the construction of robust machine learning models.
Batch Scheduling and Reporting:
• Ensure accurate and timely batch production scheduling and report distribution.
Ad Hoc Requests:
• Address ad hoc requests from users, such as data research, file manipulation and transfer, as well as investigating process issues.
