DescriptionYou thrive on diversity and creativity and we welcome individuals who share our vision of making a lasting impact. Your unique combination of design thinking and experience will help us achieve new heights.
As a Data Engineer II at JPMorganChase within the Consumer & Community Banking youare part of an agile team that works to enhance design and deliver the data collection storage access and analytics solutions in a secure stable and scalable way. As an emerging member of a data engineering team you execute data solutions through the design development and technical troubleshooting of multiple components within a technical product application or system while gaining the skills and experience needed to grow within your role.
Job responsibilities
- 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
- Adds to team culture of diversity opportunity inclusion and respect
Required qualifications capabilities and skills
- Formal training or certification on Software Engineering concepts and 2 years applied experience
- 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
- Experience in developing debugging and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
- Proven experience in performance and tuning to ensure jobs are running at optimal levels and no performance bottleneck
- Solid understanding of agile methodologies such as CI/CD Application Resiliency and Security
- Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g. cloud artificial intelligence machine learning mobile etc.)
- 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
Preferred qualifications capabilities and skills
- Python Advance development skills / Kafka & S3 integration in Performance optimization
- Experience in carrying out data analysis to support business insights
- Strong in PySpark AWS & Snowflake
Required Experience:
IC
DescriptionYou thrive on diversity and creativity and we welcome individuals who share our vision of making a lasting impact. Your unique combination of design thinking and experience will help us achieve new heights.As a Data Engineer II at JPMorganChase within the Consumer & Community Banking youa...
DescriptionYou thrive on diversity and creativity and we welcome individuals who share our vision of making a lasting impact. Your unique combination of design thinking and experience will help us achieve new heights.
As a Data Engineer II at JPMorganChase within the Consumer & Community Banking youare part of an agile team that works to enhance design and deliver the data collection storage access and analytics solutions in a secure stable and scalable way. As an emerging member of a data engineering team you execute data solutions through the design development and technical troubleshooting of multiple components within a technical product application or system while gaining the skills and experience needed to grow within your role.
Job responsibilities
- 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
- Adds to team culture of diversity opportunity inclusion and respect
Required qualifications capabilities and skills
- Formal training or certification on Software Engineering concepts and 2 years applied experience
- 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
- Experience in developing debugging and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
- Proven experience in performance and tuning to ensure jobs are running at optimal levels and no performance bottleneck
- Solid understanding of agile methodologies such as CI/CD Application Resiliency and Security
- Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g. cloud artificial intelligence machine learning mobile etc.)
- 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
Preferred qualifications capabilities and skills
- Python Advance development skills / Kafka & S3 integration in Performance optimization
- Experience in carrying out data analysis to support business insights
- Strong in PySpark AWS & Snowflake
Required Experience:
IC
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