Lead Software Engineer Market Risk

Jersey, NJ - USA

Monthly Salary: $ 152000 - 215000

Posted on: 2 days ago

Vacancies: 1 Vacancy

Job Summary

Description

We have an opportunity to impact your career and provide an adventure where you can push the limits of whats possible.

As a Lead Software Engineer at JPMorgan Chase within the Market Risk MXL DataLake Team you will join a strategic initiative building cutting-edge data platforms for market risk and this role youll design and implement high-volume data pipelines and historical data stores collaborating closely with architects risk technologists and product owners.

Job Responsibilities

Design build and maintain large-scale historical data stores on modern big-data platforms
Develop robust scalable data pipelines using PySpark / Spark for batch and incremental processing
Apply strong data-modelling principles (e.g. dimensional Data Vaultstyle or similar approaches) to support long-term historical analysis and regulatory requirements
Engineer high-quality production-grade code with a focus on correctness performance testability and maintainability
Optimize Spark workloads for performance and cost efficiency (partitioning clustering file layout etc.)
Collaborate with architects and senior engineers to evolve platform standards patterns and best practices
Contribute to code reviews technical design discussions and continuous improvement of engineering practices

Required qualifications capabilities and skills

Degree-level education in Computer Science Software Engineering or a related discipline (or equivalent practical experience)
Strong software engineering fundamentals including data structures algorithms and system design
Proven experience building large-scale data engineering solutions on big-data platforms
Hands-on experience developing PySpark / Spark pipelines in production environments
Solid understanding of data modelling for analytical and historical data use cases
Experience working with large volumes of structured data over long time horizons
Familiarity with distributed systems concepts such as fault tolerance parallelism and idempotent processing.

Preferred Qualifications

Experience with Databricks Delta Lake or similar cloud-based big-data platforms
Hands-on experience designing and implementing Data Vault 2.0 models.
Exposure to historical / regulatory data platforms risk data or financial services
Knowledge of append-only data patterns slowly changing dimensions or event-driven data models
Experience with CI/CD automated testing and production monitoring for data pipelines
Experience building highly reliable production-grade risk systems with robust controls and integration with modern SRE tooling.

Required Experience:

DescriptionWe have an opportunity to impact your career and provide an adventure where you can push the limits of whats possible.As a Lead Software Engineer at JPMorgan Chase within the Market Risk MXL DataLake Team you will join a strategic initiative building cutting-edge data platforms for market...

Description

We have an opportunity to impact your career and provide an adventure where you can push the limits of whats possible.

Job Responsibilities

Design build and maintain large-scale historical data stores on modern big-data platforms
Develop robust scalable data pipelines using PySpark / Spark for batch and incremental processing
Apply strong data-modelling principles (e.g. dimensional Data Vaultstyle or similar approaches) to support long-term historical analysis and regulatory requirements
Engineer high-quality production-grade code with a focus on correctness performance testability and maintainability
Optimize Spark workloads for performance and cost efficiency (partitioning clustering file layout etc.)
Collaborate with architects and senior engineers to evolve platform standards patterns and best practices
Contribute to code reviews technical design discussions and continuous improvement of engineering practices

Required qualifications capabilities and skills

Degree-level education in Computer Science Software Engineering or a related discipline (or equivalent practical experience)
Strong software engineering fundamentals including data structures algorithms and system design
Proven experience building large-scale data engineering solutions on big-data platforms
Hands-on experience developing PySpark / Spark pipelines in production environments
Solid understanding of data modelling for analytical and historical data use cases
Experience working with large volumes of structured data over long time horizons
Familiarity with distributed systems concepts such as fault tolerance parallelism and idempotent processing.

Preferred Qualifications

Experience with Databricks Delta Lake or similar cloud-based big-data platforms
Hands-on experience designing and implementing Data Vault 2.0 models.
Exposure to historical / regulatory data platforms risk data or financial services
Knowledge of append-only data patterns slowly changing dimensions or event-driven data models
Experience with CI/CD automated testing and production monitoring for data pipelines
Experience building highly reliable production-grade risk systems with robust controls and integration with modern SRE tooling.

Required Experience:

Key Skills

Cruise
Law Enforcement
Attorney At Law
Business Sales
AC Maintenance
Architecture

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About Company

JPMorganChase

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans ov ... View more

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