Lead Software Engineer DataBricks PySpark

Columbus, NE - USA

Monthly Salary: Not Disclosed

Posted on: 5 hours 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 Corporate Technology Workforce Data Analytics team you play a crucial role in an agile team dedicated to enhancing building and delivering trusted market-leading technology products that are secure stable and scalable. As a key technical contributor you are tasked with implementing critical technology solutions across multiple technical domains supporting various business functions to achieve the firms business objectives.

Job Responsibilities:

Execute creative data solutions design development and technical troubleshooting with the ability to think beyond routine or conventional approaches to build solutions or break down technical problems.
Develop secure high-quality production data pipelines and review and debug data processes implemented by others.
Identify opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of data applications and systems.
Lead 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.
Lead communities of practice across Data Engineering to drive awareness and use of new and leading-edge technologies.
Contribute to a team culture of diversity opportunity inclusion and respect.

Required Qualifications Capabilities and Skills:

Formal training or certification onsoftware engineering concepts and 5 years applied experience
3 years of experience in Data Engineering specifically design application development testing and operational stability in Python PySpark Glue Lambda Databricks and AWS .
Knowledge of Unity Catalog data formats including Delta tables Iceberg tables.
Hands-on practical experience delivering system design application development testing and operational stability.
Advanced proficiency in data processing frameworks and tools including knowledge in Parquet and Iceberg.
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 Application Resiliency and Security.
Demonstrated proficiency in data 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.

Preferred Qualifications Capabilities and Skills:

AWS Certification
Databricks Certification

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 Corporate Technology Workforce Data Analytics team you play a crucial role in an agile team dedicated to enhancing...

Description

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

Job Responsibilities:

Execute creative data solutions design development and technical troubleshooting with the ability to think beyond routine or conventional approaches to build solutions or break down technical problems.
Develop secure high-quality production data pipelines and review and debug data processes implemented by others.
Identify opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of data applications and systems.
Lead 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.
Lead communities of practice across Data Engineering to drive awareness and use of new and leading-edge technologies.
Contribute to a team culture of diversity opportunity inclusion and respect.

Required Qualifications Capabilities and Skills:

Formal training or certification onsoftware engineering concepts and 5 years applied experience
3 years of experience in Data Engineering specifically design application development testing and operational stability in Python PySpark Glue Lambda Databricks and AWS .
Knowledge of Unity Catalog data formats including Delta tables Iceberg tables.
Hands-on practical experience delivering system design application development testing and operational stability.
Advanced proficiency in data processing frameworks and tools including knowledge in Parquet and Iceberg.
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 Application Resiliency and Security.
Demonstrated proficiency in data 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.

Preferred Qualifications Capabilities and Skills:

AWS Certification
Databricks Certification

Required Experience:

Key Skills

Spring
.NET
C/C++
Go
React
OOP
C#
Data Structures
JavaScript
Software Development
Java
Distributed Systems

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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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