DATA ENGINEERING: Automate inclusion of new data sources: full data discovery cycle (i.e. perform data mapping, analysis, verification and data quality checks) for each new data source from prioritization/data source identification to BAU. Develop processes and tools to monitor and analyse model performance and data accuracy & relevance.
SYSTEM DEVELOPMENT: Building on existing components for reporting, data analysis along the lines of company guidelines, develop scalable, reusable, and nimble for purpose functional blocks of software & services. Adopt maintainable, readable, modular solution elements to deliver those functional blocks using modern software engineering best practices. Create APIs for integrate data source into functional blocks of software & services. Create APIs for downstream usage of Data models. Create visualisations to display outcome from Data models.
SUPPORT DAY TO DAY BAU:
Support Central COO team to execute and manage dashboards, ensure swift response time for changes, completion of automated scripts.
Enable analysis of data for story-telling and support management decisioning processes.
Degree in Computer Science, Engineering or any related discipline
At least 3 years in software engineering and 2 years of relevant experience in data engineering
Proficient in creating and maintaining complex ETL pipeline end-to-end while maintaining high reliability and security
Familiar with data warehouse concept and have production experience in modeling design
Familiar with at least 1 distributed computing engine (e.g. Hive, Spark, Flink)
Familiar with at least 1 NoSQL database is a plus (e.g. HBase
Excellent interpersonal and communication skills with the ability to engage and managing internal and external stakeholders across all levels of seniority
Collaboration skills with the ability to build rapport across teams and stakeholders
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