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AWS Cloud Engineer Senior

ExperiencedNo visa sponsorship
J.P. Morgan logo

at J.P. Morgan

Bulge Bracket Investment Banks

Posted 5 days ago

No clicks

**AWS Cloud Engineer Senior (Buenos Aires) - High Impact Market Data Role** - **Build & maintain AWS environments using Terraform**, collaborate cross-functionally in Agile teams, and deliver cloud-based data solutions. - **Key Responsibilities**: Design AWS architecture, set up monitoring, extract-transform-load (ETL) data from third parties into AWS storage and databases. Partner with product owners to align with business and regulatory needs. Participate in Agile sprints. - **Required Skills**: Proficient in AWS (Lambda, Neptune, Glue) and Terraform. Strong Python development experience. SQL (Oracle) and No-SQL DSL (Elasticsearch) proficiency. Cloudwatch or Dynatrace experience. Previous Agile team experience. - **Preferred Skills**: Kubernetes, Jenkins, Spinnaker. Azure cloud provider familiarity. ChatGPT API, ODRL/DCAT, Business Intelligence solution experience.

Compensation
Not specified

Currency: Not specified

City
Buenos Aires
Country
Argentina

Full Job Description

Location: Ciudad Autnoma de Buenos Aires, Argentina

We are seeking an experienced Infrastructure engineer to join our Market Data Services team, focusing on our high-impact Market Data Distribution program . 

As a Engineer at JPMorgan Chase within our Market Data Services team, you will play a pivotal role in delivering third party data, via cloud-based Data Platforms for business use across JPMorgan including AI/ML. You will be working within an Agile project environment, participating in two-week sprint cycles, and collaborating closely with cross-functional teams to deliver high-quality solutions.

 

Key Responsibilities

  • Building and maintaining AWS Environments.
  • Configure monitoring for cloud environments.
  • Extract, Transform and Load data from Third Parties into AWS Storage and Databases.
  • Collaborate with product owners and stakeholders to ensure data solutions align with business and regulatory requirements.

     

  • Actively participate in Agile ceremonies and two-week sprint cycles.

     

     

Required qualifications, skills, and capabilities

  • Strong hands-on expertise with AWS and Terraform for building and maintaining solutions.

     

  • Experience with AWS Lambda, AWS Neptune, AWS Glue.
  • Experience with Python development.

     

  • Proficient in SQL for Oracle and No-SQL DSL for Elasticsearch.
  • Experience working in Agile teams.

     

  • Cloudwatch or Dynatrace experience.

 

Preferred qualifications, skills, and capabilities

  • Experience building and deploying Kubernetes based solutions.
  • Experience with Jenkins and Spinnaker pipelines .
  • Any experience with Azure cloud provider is also favorable.
  • Any experience with ChatGPT API.
  • Any experience with ODRL/DCAT.
  • Any experience building Business Intelligence solutions
Cloud engineer to join our Market Data Services team, focusing on our high-impact Market Data Distribution program.

AWS Cloud Engineer Senior

Compensation

Not specified

City: Buenos Aires

Country: Argentina

J.P. Morgan logo
Bulge Bracket Investment Banks

5 days ago

No clicks

at J.P. Morgan

ExperiencedNo visa sponsorship

**AWS Cloud Engineer Senior (Buenos Aires) - High Impact Market Data Role** - **Build & maintain AWS environments using Terraform**, collaborate cross-functionally in Agile teams, and deliver cloud-based data solutions. - **Key Responsibilities**: Design AWS architecture, set up monitoring, extract-transform-load (ETL) data from third parties into AWS storage and databases. Partner with product owners to align with business and regulatory needs. Participate in Agile sprints. - **Required Skills**: Proficient in AWS (Lambda, Neptune, Glue) and Terraform. Strong Python development experience. SQL (Oracle) and No-SQL DSL (Elasticsearch) proficiency. Cloudwatch or Dynatrace experience. Previous Agile team experience. - **Preferred Skills**: Kubernetes, Jenkins, Spinnaker. Azure cloud provider familiarity. ChatGPT API, ODRL/DCAT, Business Intelligence solution experience.

Full Job Description

Location: Ciudad Autnoma de Buenos Aires, Argentina

We are seeking an experienced Infrastructure engineer to join our Market Data Services team, focusing on our high-impact Market Data Distribution program . 

As a Engineer at JPMorgan Chase within our Market Data Services team, you will play a pivotal role in delivering third party data, via cloud-based Data Platforms for business use across JPMorgan including AI/ML. You will be working within an Agile project environment, participating in two-week sprint cycles, and collaborating closely with cross-functional teams to deliver high-quality solutions.

 

Key Responsibilities

  • Building and maintaining AWS Environments.
  • Configure monitoring for cloud environments.
  • Extract, Transform and Load data from Third Parties into AWS Storage and Databases.
  • Collaborate with product owners and stakeholders to ensure data solutions align with business and regulatory requirements.

     

  • Actively participate in Agile ceremonies and two-week sprint cycles.

     

     

Required qualifications, skills, and capabilities

  • Strong hands-on expertise with AWS and Terraform for building and maintaining solutions.

     

  • Experience with AWS Lambda, AWS Neptune, AWS Glue.
  • Experience with Python development.

     

  • Proficient in SQL for Oracle and No-SQL DSL for Elasticsearch.
  • Experience working in Agile teams.

     

  • Cloudwatch or Dynatrace experience.

 

Preferred qualifications, skills, and capabilities

  • Experience building and deploying Kubernetes based solutions.
  • Experience with Jenkins and Spinnaker pipelines .
  • Any experience with Azure cloud provider is also favorable.
  • Any experience with ChatGPT API.
  • Any experience with ODRL/DCAT.
  • Any experience building Business Intelligence solutions
Cloud engineer to join our Market Data Services team, focusing on our high-impact Market Data Distribution program.