Software Engineer III Python, AWS

Chicago, IL - USA

Monthly Salary: $ 114000 - 155000

Posted on: 16 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 Software Engineer III at JPMorgan Chase within the Commercial and Investment Bank 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

Design develop and maintain scalable data pipelines and ETL processes to support data integration and analytics.
Frequently utilizes SQL and understands NoSQL databases and their niche in the marketplace
Implement best practices for data engineering ensuring data quality reliability and performance
Contribute to data modernization efforts by leveraging cloud solutions and optimizing data processing workflows
Perform data extraction and implement complex data transformation logic to meet business requirements
Monitor and executes data quality checks to proactively identify and address anomalies
Ensure data availability and accuracy for analytical purposes
Identify opportunities for process automation within data engineering workflows
Deploy and manage containerized applications using Amazon ECS ( Kubernetes EKS) .
Implement data orchestration and workflow automation using AWS step Event Bridge
Use Terraform for infrastructure provisioning and management ensuring a robust and scalable data infrastructure.

Required qualifications capabilities and skills

Formal training or certification on Software / Data Engineering concepts and 3 years applied experience
Experience across the data lifecycle
Proficient in SQL coding (e.g. joins and aggregations)
Experience in Micro service based component using ECS or EKS
Experience in building and optimizing data pipelines architectures and data sets ( Glue or Data bricks etl)
Proficient in object-oriented and object function scripting languages (Python etc.)
Experience in developing ETL process and workflows for streaming data from heterogeneous data sources ( Kafka)
Experience building Pipeline on AWS using Terraform and using CI/CD pipelines

Preferred qualifications capabilities and skills

Advanced knowledge of RDBMS like Aurora Open Search
Experience working with modern Lakehouse : Databricks Glue
Experience with data pipeline and workflow management tools (Airflow etc.)
Strong analytical and problem-solving skills with attention to detail.
Ability to work independently and collaboratively in a team environment.
A proactive approach to learning and adapting to new technologies and methodologies.

DescriptionWe have an exciting and rewarding opportunity for you to take your software engineering career to the next level.As a Software Engineer III at JPMorgan Chase within the Commercial and Investment Bank you serve as a seasoned member of an agile team to design and deliver trusted market-lead...

Description

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

Job Responsibilities

Design develop and maintain scalable data pipelines and ETL processes to support data integration and analytics.
Frequently utilizes SQL and understands NoSQL databases and their niche in the marketplace
Implement best practices for data engineering ensuring data quality reliability and performance
Contribute to data modernization efforts by leveraging cloud solutions and optimizing data processing workflows
Perform data extraction and implement complex data transformation logic to meet business requirements
Monitor and executes data quality checks to proactively identify and address anomalies
Ensure data availability and accuracy for analytical purposes
Identify opportunities for process automation within data engineering workflows
Deploy and manage containerized applications using Amazon ECS ( Kubernetes EKS) .
Implement data orchestration and workflow automation using AWS step Event Bridge
Use Terraform for infrastructure provisioning and management ensuring a robust and scalable data infrastructure.

Required qualifications capabilities and skills

Formal training or certification on Software / Data Engineering concepts and 3 years applied experience
Experience across the data lifecycle
Proficient in SQL coding (e.g. joins and aggregations)
Experience in Micro service based component using ECS or EKS
Experience in building and optimizing data pipelines architectures and data sets ( Glue or Data bricks etl)
Proficient in object-oriented and object function scripting languages (Python etc.)
Experience in developing ETL process and workflows for streaming data from heterogeneous data sources ( Kafka)
Experience building Pipeline on AWS using Terraform and using CI/CD pipelines

Preferred qualifications capabilities and skills

Advanced knowledge of RDBMS like Aurora Open Search
Experience working with modern Lakehouse : Databricks Glue
Experience with data pipeline and workflow management tools (Airflow etc.)
Strong analytical and problem-solving skills with attention to detail.
Ability to work independently and collaboratively in a team environment.
A proactive approach to learning and adapting to new technologies and methodologies.

Key Skills

APIs
Docker
Jenkins
REST
Python
AWS
NoSQL
MySQL
JavaScript
Postgresql
Django
GIT

Apply Now

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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