at J.P. Morgan
Bulge Bracket Investment BanksPosted 11 days ago
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**Software Engineer III: Data Engineer | JPMorgan Chase | NY, USA** Design and deliver trusted data solutions as a seasoned Data Engineer III. Key responsibilities include: architecting secure, scalable data collection and access systems; developing, testing, and maintaining critical data pipelines and architectures; conducting data analysis for continuous improvement; and proactively identifying and addressing data patterns and hidden problems. Required skills and experience: 3+ years of software engineering experience, advanced SQL, working knowledge of NoSQL databases, experience with ETL processes, AWS, Python, and PySpark. Proficient in Unix scripting, data structures, and big-data storage formats. Proven experience in system design, application development, and testing. Preferred: advanced Python development, Kafka, S3 integration, and experience with data analysis for business insights.
- Compensation
- Not specified USD
- City
- New York City
- Country
- United States
Currency: $ (USD)
Full Job Description
Location: NY, United States
Be part of a dynamic team where your distinctive skills will contribute to a winning culture and team.
Job responsibilities
- Supports review of controls to ensure sufficient protection of enterprise data
- Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems .
- Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems.
- Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development.
- 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, patterns in data, and uses these insights to drive improvements to coding hygiene and system architecture.
- Contributes to software engineering communities of practice and events that explore new and emerging technologies
- Updates logical or physical data models based on new use cases
- Frequently uses SQL and understands NoSQL databases and their niche in the marketplace
Required qualifications, capabilities, and skills
- Formal training or certification on Software Engineering concepts and 3+ years applied experience
- Working understanding of NoSQL databases with Advanced at SQL (e.g., joins and aggregations)
- Experience with statistical data analysis and ability to determine appropriate tools and data patterns to perform analysis
- Experience in ETL process/Advance concepts
- Hands-on practical experience in system design, application development, testing, and operational stability
- Experience in AWS, design, implementation, and maintenance of data pipelines using Python and PySpark (secondary alternative: Java)
- Experience in performance and tuning to ensure jobs are running at optimal levels and no performance bottleneck
- Proficiency in Unix scripting, data structures, data serialization formats such as JSON, AVRO, Protobuf, or similar, big-data storage formats such as Parquet, Iceberg, or similar, data processing methodologies such as batch, micro-batching, or stream, one or more data modelling techniques such as Dimensional, Data Vault, Kimball, Inmon, etc., Agile methodology, TDD or BDD and CI/CD tools
- Python Advance development skills / Kafka & S3 integration in Performance optimization, Lambda, ECS, EKS, Kinesis, CloudWatch
- Experience in carrying out data analysis to support business insights
- Strong in PySpark, AWS, Terraform & Snowflake, GitHub Copilot, Airflow, Kubernetes
