Data Engineer

Must have:- • Strong communicator, from making presentations to technical writing • Experience in financial domain preferably in the areas of Financial accounting and Risk. • Strong data analysis and validation experience with attention to detail and understanding patterns • Good understanding of Credit Risk, workflow and reporting solutions • Have a flair for technology and are adept at leveraging the latest tools and technologies to increase team productivity and collaboration across dispersed teams • Experience in Python, SQL and PL/SQL (Oracle) and writing queries, scripts. • A real passion for and experience of Agile working practices, with a strong desire to work with baked in quality subject areas such as TDD, BDD, test automation and DevOps principles • Experience using DevOps toolsets like GitLab • Has prior experience of working on databases and usage of SQL to perform data analysis, preferably cloud technologies • Familiar with Azure Native Cloud services, software design and enterprise integration patterns. • Experience working with / exposure to NLP, Gen AI, ML and data modelling projects, a plus • Has prior experience of working on IT projects and has knowledge and experience of software development life cycle using Agile methodology • Is well structured, very reliable and dedicated; has high attention to detail, has ability to handle a significant number of dependencies and issues ensuring nothing is missed out. • Has excellent written and verbal communication skills, inter-personal and negotiation skills • Ability to work as part of a global team with multiple delivery teams and engage with stakeholders at various levels • Able to challenge the status quo and if required have the ability to push-back demands from stakeholders with right justification • Someone with a general ability to pick up information quickly and turn around deliverables under pressure • A team player with excellent people management skills • Takes ownership of tasks assigned to ultimate resolution • Accuracy and timeliness of delivering solutions using the best IT standards and practices