Job Duties Design, develop, and maintain conceptual, logical, and physical data models for both Oracle and MongoDB platforms Translate complex business requirements into efficient and scalable relational (Oracle) and document-based (MongoDB) data structures Create and manage data dictionaries, ensuring clear documentation of data elements, relationships, and lineage Develop complex and efficient SQL, PL/SQL packages, stored procedures, functions, and triggers in an Oracle environment Write sophisticated queries, including complex joins, subqueries, and analytical functions to support application logic Develop and optimize queries and aggregation pipelines in MongoDB (MQL) to support high-performance application features Proactively monitor, analyze, and optimize database performance in both Oracle and MongoDB Analyze query execution plans, create appropriate indexes, and refactor code to ensure optimal efficiency and response times Work closely with application developers to guide them on best practices for database interaction and query writing Design and build ETL processes and data pipelines for moving and transforming data between Oracle, MongoDB, and other enterprise systems Ensure the integrity, consistency, and security of data across all platforms Assist with data migration strategies and execution **Only those lawfully authorized to work in the designated country associated with the position will be considered.** Required Education Bachelor's degree in Computer Science, Information Technology, or a related fieldRequired Qualifications/Skills/Experience 5-10 years of progressive experience in a data-centric development role Expert-level proficiency in Oracle, including advanced SQL and PL/SQL development Strong, hands-on experience with MongoDB, including data modeling, MQL, and the aggregation framework Proven experience in data modeling, with a portfolio of projects demonstrating skills in both relational and NoSQL design Strong analytical and problem-solving skills, with a talent for identifying and resolving complex data-related issues Ability to work independently and collaboratively in a fast-paced, agile environmentPreferred Qualifications/Skills/Experience Experience with data modeling tools such as Erwin, ER/Studio, or Lucidchart Knowledge of cloud database services (e.g., Oracle Cloud, MongoDB Atlas, AWS RDS) Proficiency in a scripting language like Python or Bash for automation Experience with ETL tools (e.g., Informatica, Talend, SSIS) Familiarity with version control systems, particularly Git Experience in the financial services or banking industry is a plusData Engineer Overview:We are seeking a highly experienced Data Engineer to join our technology team.