We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. 

As a Software Engineer III, Data Modeling at JPMorgan Chase within the Corporate sector, specifically within the Risk Technology team, you will be a seasoned member of an agile team, responsible for designing and delivering trusted market-leading technology products in a secure, stable, and scalable manner. Your role will involve implementing critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job responsibilities

Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems.Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systemsWorks with firm wide recommended data modeling  tools to design, develop data warehouse systems/data mart, OLTP, OLAP/BIPerforms Data Analysis and Data Profiling on different kinds of databases (relational, non-relational/NoSQL) to derive insights based on data to enable better decision makingCreates conceptual, Logistical, & Physical Data Models and obtain approvals from Data Review Board/StakeholdersCreates source to target data mapping documents, Metadata inventory documents, and DDLs for physical implementationNormalizes (1/2/3 NF) and de-normalize database structures as per business needs, optimize database deigns for better performance by recommending best practices such as indexes, partitions, appropriate use of data types, collecting stats, etc.Performs ETL (Extract/Transform/Load) from various sources inclusive of databases spreadsheets for Data Integration purposesEstablishes & tracks Data Governance, Data Management and Data Quality Policies and Process implementations. This includes ensuring there is proper data sourcing, metadata and lineage capture, data protection classification, masking/hashing data, data landscape updates and data quality rule implementation on all critical feeds.Defines & documents Data Modeling standards, processes, best practices, conduct trainings.Provides leadership, mentoring and guidance to junior team members to ensure data models are of high quality.

Required qualifications, capabilities, and skills

Formal training or certification in software Engineering and 3+ years applied experienceHands-on practical experience in system design, application development, testing, and operational stabilityProficient in coding in one or more languagesExperience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languagesExperience in data modeling technologies using Erwin, Magic Draw, Hadoop, Hive, Impala, Teradata, Oracle, SQL, Java, Unix, Experience in cloud technologies such as AWS S3, RDSExperience in data management data architecture, data quality, and data governanceOverall knowledge of the Software Development Life CycleSolid understanding of agile methodologies such as CI/CD, Application Resiliency, and SecurityDemonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)Experience in proactively identifying hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture

Preferred qualifications, capabilities, and skills

Familiarity with modern front-end technologiesPrevious experience in financial services industry