AWS Data Engineer
11 hours ago
Job Title: AWS Data Engineer
Location: Plano, TX - Onsite
Duration: 12+ Months W2
Billing Rate - $53/hr on W2
Job Description
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 datastores, NoSQL datastores 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 CloudFront, AWS EFS, AWS DynamoDB, CloudWatch, 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 NoSQL 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, DynamoDB, EKS, ECS fargate, MFTS, SQS/SNS, S3 and Route53
- Advanced in modern technologies such as: Java version 8+, Spring Boot, Restful Microservices, AWS or Cloud Foundry, Kubernetes.
- Experience using DevOps tools in a cloud environment, such as Ansible, Artifactory, Docker, GitHub, Jenkins, Kubernetes, Maven, and Sonar Qube
- Experience and knowledge of writing Infrastructure-as-Code (IaC) and Environment-as-Code (EaC), using tools like CloudFormation or Terraform
- Experience with high volume, SLA critical applications, and building upon messaging and or event-driven architectures
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