Platform Software Engineer III- ETL AWS Python Pyspark

Jersey, NJ - USA

Monthly Salary: $ 133000 - 185000

Posted on: 6 hours ago

Vacancies: 1 Vacancy

Job Summary

Description

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.

As a Platform Software Engineer III- ETL / AWS / Python / Pyspark at JPMorganChase within the Asset and Wealth Management Technology Team you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure stable and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firms business objectives.

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
Designs develops and implements scalable data pipelines and ETL batches using Python/PySpark on AWS
Uses infrastructure as code tools to build applications to orchestrate and monitor data pipelines create and manage on-demand compute resources on cloud programmatically and create frameworks to ingest and distribute data at scale
Stays up-to-date with emerging technologies and industry trends to drive innovation and continuous improvement
Leverage AI coding assist tools to accelerate software development testing and delivery
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 and 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 3 years applied experience
Hands-on practical experience in system design application development testing and operational stability
Experience in software development and data engineering with demonstrable hands-on experience in Python and PySpark
Proven experience with cloud platforms such as AWS Azure or Google Cloud
Good understanding of data modeling data architecture ETL processes and data warehousing concepts
Experience or good knowledge of cloud native ETL platforms like Snowflake and/or Databricks
Experience with big data technologies and services like AWS EMRs Redshift Lambda S3
Proven experience with efficient Cloud DevOps practices and CI/CD tools like Jenkins/Gitlab for data engineering platforms
Good knowledge of SQL and NoSQL databases including performance tuning and optimization
Experience with declarative infra provisioning tools like Terraform Ansible or CloudFormation
Experience in developing debugging and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages

Preferred qualifications capabilities and skills

Knowledge of machine learning model lifecycle AI coding assist tools and cloud-native MLOps pipelines and frameworks
Familiarity with data visualization tools and data integration patterns

Required Experience:

DescriptionWe have an exciting and rewarding opportunity for you to take your software engineering career to the next level.As a Platform Software Engineer III- ETL / AWS / Python / Pyspark at JPMorganChase within the Asset and Wealth Management Technology Team you serve as a seasoned member of an a...

Description

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.

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
Designs develops and implements scalable data pipelines and ETL batches using Python/PySpark on AWS
Uses infrastructure as code tools to build applications to orchestrate and monitor data pipelines create and manage on-demand compute resources on cloud programmatically and create frameworks to ingest and distribute data at scale
Stays up-to-date with emerging technologies and industry trends to drive innovation and continuous improvement
Leverage AI coding assist tools to accelerate software development testing and delivery
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 and 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 3 years applied experience
Hands-on practical experience in system design application development testing and operational stability
Experience in software development and data engineering with demonstrable hands-on experience in Python and PySpark
Proven experience with cloud platforms such as AWS Azure or Google Cloud
Good understanding of data modeling data architecture ETL processes and data warehousing concepts
Experience or good knowledge of cloud native ETL platforms like Snowflake and/or Databricks
Experience with big data technologies and services like AWS EMRs Redshift Lambda S3
Proven experience with efficient Cloud DevOps practices and CI/CD tools like Jenkins/Gitlab for data engineering platforms
Good knowledge of SQL and NoSQL databases including performance tuning and optimization
Experience with declarative infra provisioning tools like Terraform Ansible or CloudFormation
Experience in developing debugging and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages

Preferred qualifications capabilities and skills

Knowledge of machine learning model lifecycle AI coding assist tools and cloud-native MLOps pipelines and frameworks
Familiarity with data visualization tools and data integration patterns

Required Experience:

Key Skills

SQL
Pentaho
PL/SQL
Microsoft SQL Server
SSIS
Informatica
Shell Scripting
T Sql
Teradata
Data Modeling
Data Warehouse
Oracle

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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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