Software Engineer III-Databricks, Spark/PySpark, AWS
JPMorgan Chase & Co.Match Score
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Job Description
Structured overview of role & requirementsAbout This Role
Design, develop, and optimize production-grade software solutions focusing on data engineering with Databricks, Spark/PySpark, and AWS cloud technologies.
Lead architecture and design for complex applications ensuring secure, high-quality code and operational stability in a financial services environment.
Utilize AI-assisted development tools to improve code quality, automate testing, and drive engineering standards while mentoring peers.
Minimum Requirements
3+ years of hands-on experience in software engineering with formal training or certification.
Strong expertise in Databricks and Spark/PySpark with deep performance optimization experience.
Proficiency in AWS cloud-native implementations including storage, compute, IAM/security, and networking.
Proficient in Python and SQL with experience in building/managing data models and production-grade ETL/ELT systems.
Ideal Candidate Profile
Experienced in applying AI/ML techniques including model training, feature engineering pipelines, or MLOps in production environments.
Demonstrated leadership or SME capabilities including mentoring and making technical decisions aligned with business needs.
Familiarity with secure AI-assisted coding tools and responsible AI practices within software development lifecycle workflows.