J
JPMC
Data Engineer
Software Engineer III - Data Engineer
On-siteSeniorData Engineerposted 12mo ago
Role summaryAI-generated
This role at JPMorgan Chase requires a senior data engineer to design scalable, secure data pipelines and drive system improvements through proactive data analysis and automation. The candidate will lead technical communities, optimize code hygiene, and leverage insights to enhance software reliability and performance.
Skills required
About this role
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
- Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
- Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
- Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
- Adds to team culture of diversity, equity, inclusion, and respect
Required qualifications, capabilities, and skills
- Formal training or certification on Software Engineering concepts and 3+ years applied experience.
- Proven hands-on experience in Python or Java development on data platforms, including practical expertise with Apache Spark for large-scale data processing.
- Strong proficiency in SQL for data querying, transformation, and analysis.
- Experience with cloud data platform technology stacks such as AWS S3, Snowflake, and Databricks, with hands-on expertise in Spark, SQL, Unix, AWS, and data modeling.
- Knowledge of application, data, and infrastructure architecture disciplines.
- Knowledge of GIT, bitbucket, Maven, Jenkins, JIRA, Control-M or equivalent tools.
Demonstrated knowledge of software applications and technical processes within a technical discipline. (e.g. cloud, artificial intelligence, machine learning, etc.)
Preferred qualifications, capabilities, and skills
- Working experience on Kafka is a nice to have skill.
- Experience in Java 8/11/17, Object-Oriented design & analysis is a plus.
- Experience with Unix, shell scripts, is a plus.
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