Lead Software Engineer - Python / AWS / ETL / Big Data

260312-South Florida Region Admin • New York, United States • 4w ago

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 - Python / AWS / ETL / Big Data at JPMorgan Chase within the Consumer and Community Bank, Connected Commerce 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. 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.

Job responsibilities

Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
Develops secure high-quality production code, and reviews and debugs code written by others
Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
Works with an existing development team to create the new Hadoop-based platform and migrates the existing data platforms to Cloud using many tools including Sqoop, Hive, Impala, Spark, Kafka, Streaming, SQL, Python, Java, etc.
Designs, develops, implements and supports the platform
Develops and tests new interfaces, enhancements/changes to existing interfaces, new data structures, new reporting capabilities, and enhances ETL pipelines and design solutions,
Handles Dev Ops efforts in terms of CICD, Scanning, Code, Performance testing and Test coverage
Identifies, analyzes, and interprets trends or patterns in complex data sets and transforms existing ETL logic into AWS and Hadoop Platform
Innovates new ways of managing, transforming and validating data, establishes and enforces guidelines to ensure consistency, quality and completeness of data assets

Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and 5+ years of applied experience
Hands-on practical experience delivering system design, application development, testing, and operational stability
Proficiency in automation and continuous delivery methods
Proficient in all aspects of the Software Development Life Cycle
Advanced understanding of agile methodologies such as CI/CD, Applicant Resiliency, and Security
Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
In-depth knowledge of the financial services industry and their IT systems
Practical cloud native experience
Demonstrated experience with AWS, Python and ETL development
Experience with Big Data Technologies such as Sqoop, Hive, Impala, Spark, Kafka
Experience with data analysis, data modeling, data engineering, and experience working with tools and databases such as SQL and Oracle