Lead Software Engineer - AWS/PySpark/Data Engineer/Databricks job opportunity at JPMorganChase.

Bachelor's (B.Sc.)

Columbus, Ohio, United States Of America

Columbus, Ohio....United States Of America

summarize with Ai

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. __ As a Lead Software Engineer at JPMorgan Chase within the Corporate Technology Employee Platform team, you play a vital role in an agile team dedicated to enhancing, building, and delivering trusted, market-leading technology products in a secure, stable, and scalable manner. As a key technical contributor, you are tasked with implementing critical technology solutions across multiple technical domains, supporting various business functions to achieve the firm's business objectives. __ Job responsibilities Execute creative software and data solutions, including #design, #development, and #technical troubleshooting, by thinking beyond routine approaches to build solutions or break down technical problems. __ Develop secure, high-quality production code and data pipelines, reviewing and debugging processes implemented by others. Identify opportunities to eliminate or automate remediation of recurring issues to improve operational stability of software applications and systems. __ Lead evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs and technical credentials. Work with business stakeholders to understand requirements and design appropriate solutions, producing architecture and design artifacts for complex applications. Implement robust monitoring and alerting systems to proactively identify and address data ingestion issues, optimizing performance and throughput. __ Implement data quality checks and validation processes to ensure accuracy and reliability of data. Design and implement scalable data frameworks to manage end-to-end data pipelines for workforce data analytics. Share and develop best practices with Platform and Architecture teams to improve data pipeline framework and modernize the workforce data analytics platform. __ Gather, analyze, and synthesize large, diverse data sets to continuously improve capabilities and user experiences, leveraging data-driven insights. Contribute to software engineering communities of practice and events that explore new and emerging technologies, fostering a culture of diversity, opportunity, inclusion, and respect.