Jobs / JPM***
Lead Software Engineer - Python, Databricks, AWS
JPM*** · Plano, TX, United States
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Plano, TX, United StatesOnsite
Remuneration
Not specified
Location
Plano, TX, United States
Visa sponsorship
Sponsors visa
Job summary
JOB DESCRIPTION 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, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way.
Benefits
And programs to meet employee needs, based on eligibility.Additional details about total compensation andWill be provided during the hiring process.We recognize that our people are our strength and the diverse talents they bringWe are an equal opportunity employer and place a high value on diversity and incVisit our FAQs for more information about requesting an accommodation.JPMorgan Chase & Co.Is an Equal Opportunity Employer, including Disability/VeteransABOUT THE TEAMYou'll be part of a team specifically built to meet and exceed our evolving tech
Qualifications
- capabilities, and
Responsibilities
- As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.
- Execute creative, data-driven software solutions, including design, development, and technical troubleshooting, with the ability to think beyond routine approaches to solve technical problems.
- Design, develop, and maintain scalable data pipelines and processing workflows using Python, PySpark, SQL, and Databricks on AWS, processing and transforming large-scale financial datasets for analytics and reporting.
- Develop fact and dimension data models for reporting and analytics.
- Write secure, high-quality production code, and review and debug code written by others.
- Ensure data quality, consistency, security, and lineage throughout all stages of data processing and transformation, implementing monitoring and alerting mechanisms to maintain pipeline reliability.
- Support data migration and modernization initiatives, transitioning legacy systems to cloud-based data warehouses.
- Collaborate with business stakeholders to develop data management strategies, transforming data into insights that drive strategic decisions.
- Document data flows, logic, and transformation rules to maintain transparency and facilitate knowledge sharing.
- Applies knowledge of
Skills
Leadership
Degrees
Associate
Industry
AutomotiveBankingHealthcareLogisticsPublic-sector
Company size
EnterpriseSmb
Contract length
00 years