Data Engineer with SQL

Information about the project: Location: fully remote Industry: banking Rate; it depends on your expectations Summary The Data Analyst/Data Engineer will focus on supporting and delivering various business requests related to customer data management within a dynamic team, aimed at improving data quality and system integration. Main Responsibilities • Analyzing and improving data quality in the data lake — identifying and resolving data-related issues. • Reviewing, analyzing, and enhancing PL/SQL code — often using GitHub to track changes, bugs, commit history, etc. • Collaborating with the development team (who leads on the business side) to understand issues and implement solutions. • Supporting the alignment of core banking and account systems — identifying data gaps and ensuring they are filled. • Writing advanced SQL queries to analyze large volumes of data. Key Requirements • Advanced SQL • PySpark / Python • PL/SQL • Data analysis skills • Jira, Confluence Nice to Have • Experience with data governance processes • Familiarity with Hadoop ecosystem • Understanding of data lake architectures • Experience in banking industry