Python PySpark AWS

Position: Python PySpark with AWS-400692
Duties and responsibilities

• Collaborate with the team to build out features for the data platform and consolidate data
assets

• Build, maintain and optimize data pipelines built using Spark

• Advise, consult, and coach other data professionals on standards and practices

• Work with the team to define company data assets

• Migrate CMS' data platform into Chase's environment

• Partner with business analysts and solutions architects to develop technical
architectures for strategic enterprise projects and initiatives

• Build libraries to standardize how we process data

• Loves to teach and learn, and knows that continuous learning is the cornerstone of every
successful engineer

• Has a solid understanding of AWS tools such as EMR or Glue, their pros and cons and
is able to intelligently convey such knowledge

• Implement automation on applicable processes

Mandatory

Skills:

• 5+ years of experience in a data engineering position

• Proficiency is Python (or similar) and SQL

• Strong experience building data pipelines with Spark

• Strong verbal & written communication

• Strong analytical and problem solving skills

• Experience with relational data stores, No

SQL data stores and cloud object stores

• Experience building data processing infrastructure in AWS

• Bonus:

Experience with infrastructure as code solutions, preferably Terraform

• Bonus:
Cloud certification

• Bonus:
Production experience with ACID compliant formats such as Hudi, Iceberg or
Delta Lake

• Bonus:
Familiar with data observability solutions, data governance frameworks
Requirements
Bachelor's Degree in Computer Science/Programming or similar is preferred
Right to work
Must have legal right to work in the USA

Job responsibilities
Your experience in public cloud migrations of complex systems, anticipating problems, and finding ways to mitigate risk, will be key in leading numerous public cloud initiatives
Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
Own end-to-end platform issues & help provide solutions to platform build and performance issues on the AWS Cloud & ensure the deliverables are bug free
Drive, support, and deliver on a strategy to build broad use of Amazon's utility computing web services (e.g., AWS EC2, AWS S3, AWS RDS, AWS Cloud Front, AWS EFS, AWS Dynamo

DB, Cloud Watch, EKS, ECS, MFTS, ALB, NLB)
Design resilient, secure, and high performing platforms in Public Cloud using JPMC best practices
Measure and optimize system performance, with an eye toward pushing our capabilities forward, getting ahead of customer needs, and innovating to continually improve
Provide primary operational support and engineering for the public cloud platform and debug and optimize systems and automate routine tasks
Collaborate with a cross-functional team to develop real-world solutions and positive user experiences at every interaction
Drive Game days, Resiliency tests and Chaos engineering exercises
Utilize programming languages like Java, Python, SQL, Node, Go, and Scala, Open Source RDBMS and No

SQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services
Required qualifications, capabilities, and skills
Formal training or certification on software engineering concepts and 10+ years applied experience
Hands-on practical experience delivering system design, application development, testing, and operational stability
Advanced in one or more programming language(s) - Java, Python, Go
A strong understanding of business technology drivers and their impact on architecture design, performance and monitoring, best practices
Design and building web environments on AWS, which includes working with services like EC2, ALB, NLB, Aurora Postgres, Dynamo

DB, EKS, ECS fargate, MFTS, SQS/SNS, S3 and Route
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Advanced in modern technologies such as:
Java version 8+, Spring Boot, Restful Microservices, AWS or Cloud Foundry, Kubernetes.
Experience using Dev Ops tools in a cloud environment, such as Ansible, Artifactory, Docker, Git Hub, Jenkins, Kubernetes, Maven, and Sonar Qube
Experience and…