JPMorgan Data Engineer III 

United States, New Jersey, Jersey City 

166730926

Job responsibilities

• Supports review of controls to ensure sufficient protection of enterprise data
• Advises and makes custom configuration changes in one to two tools to generate a product at the business or customer request
• Updates logical or physical data models based on new use cases
• Frequently uses SQL and understands NoSQL databases and their niche in the marketplace
• Adds to team culture of diversity, equity, inclusion, and respect
• Design, build, deploy and maintain software applications for Internal Audit functions in close collaboration with our business/customer stakeholders.
• Contribute towards technical business analysis to enrich the requirements produced by business and product owners.
• Ensure focus on excellent data architecture, data management principles and system performance.
• Research new technologies, create proof of concepts, identify best practices, adapt quickly and provide technical guidance to other team members

Required qualifications, capabilities, and skills

• BS/BA university degree, specialized training or equivalent work experience.
• 8 years of Experience across the data lifecycle.
• 5+ years of strong experience with data management activities, that includes : Relational and Dimensional data modeling, SQL querying, DB / Query Performance Tuning, hands on development using PL / SQL, experience in writing Oracle Packages, Stored procedures, Functions, Triggers, including working with scheduling tools like Autosys.
• Advanced Knowledge at SQL (e.g., joins and aggregations)
• Working understanding of NoSQL databases
• Significant experience with statistical data analysis and ability to determine appropriate tools and data patterns to perform analysis
• Database Management skills including Data Analysis & Comparison, Data Quality Management, Reference and Master Data Management.
• Excellent knowledge of DB technologies including Oracle, Autosys, Shell Scripting and writing complex queries using SQL.
• Practical experience with unit testing and troubleshooting PL/SQL code.
• Experience with Oracle system tables, Data Privacy, Access and Security

Preferred qualifications, capabilities and skills

• Familiarity and experience with Data Lakes, Data Lakehouses (Databricks), ETL, Data Mesh, AI / ML Concepts, LLM etc.
• Knowledge of Data warehousing and Business Intelligence concepts.
• Hands on experience in working with tools like ERWIN, Oracle SQL Developer, TOAD etc.
• Cloud - Experience with both Private and Public clouds.
• Knowledge on cloud-based application architectures, micro services, and distributed systems.
• Knowledge of build tools, source control like Git/Bitbucket with CI/CD.