Project description The Risk and Finance solutions team requires a Data Engineer to work on their Liquidity and Capital Enhancements and Regulatory reporting Programs. Key attributes include solution realization, design across the capital risk and balance sheet management systems for a range of regulatory and technical optimization requirements. Responsibilities Requirement Analysis of user requirements Development for migrating data from treasury systems to a data lake Documentation of the changes Participate in the periodic change and config management calls Skills Must have 0-1 years of experience In Python, SQL Intermediate knowledge on Hadoop ecosystem such as Hive/Pig/MapReduce Strong in SQL, NoSQL, RDBMS and Data warehousing concepts Experience in PowerBI/Tableau or any other BI tool Gather and process raw data at scale (including writing scripts, web scraping, calling APIs, write SQL queries, etc.). Tuning Hadoop solutions to improve performance and end-user experience; Processing unstructured data into a form suitable for analysis and then do the analysis. Nice to have Finance/ Banking domain experience Other Languages English: B2 Upper Intermediate Seniority Junior