Implementation of logging and error-handling mechanisms, system monitoring, construction of fault-tolerant data pipelines, continuous integration practices, database administration activities, data cleansing maintenance and deterministic pipeline implementation;
Development using programming languages and technologies such as C#, Java, Python, Ruby, Scala, SQL and Apache Spark;
Delivery of data integration solutions using ETL tools and REST-oriented APIs to enable structured access to prepared datasets for data analysts and business users;
Designing, building, testing and maintaining Big Data & BI components using Microsoft and Azure tools;
Ensuring reliability and performance of reporting applications;
Contributing to project interactions and coordination activities related to scope definition, planning alignment and testing phases.
