Overall, 4 to 6 years of working experience in data engineering and reporting
Proficiency in PySpark for data processing and management
Proficiency in Foundry & its applications (building pipeline using code-repository, creating data-health Checks & Expectations, data analysis in Contour)
Familiarity with Hadoop and Spark along with optimizing spark-based pipelines
Data Model Design and implementation based on the requirements
Able to convert the business problem / situation into technical implementation
Familiarity with Financial Reporting & Valuations (like IFRS17) is an advantage
Knowledge of current Visualization tools or TypeScript is an advantage
Knowing multiple technologies HTML, CSS, JavaScript frameworks like React or Angular or D3.js or Chart.js or similar is a plus
University degree (equivalent) in quantitative field (e.g. Mathematics, Statistics, Operations Research, Industrial engineering, Computer Science Engineering, Econometrics or Information Technology)