DescriptionWe know that people want great value combined with an excellent experience from a bank they can trust so we launched our digital bank Chase UK to revolutionise mobile banking with seamless journeys that our customers love. Were already trusted by millions in the US and were quickly catching up in the UK but how we do things here is a little different. Were building the bank of the future from scratch channelling our startup mentality every step of the way meaning youll have the opportunity to make a real impact.
As a Software Engineer III at JPMorgan Chase within the International Consumer Bank you will be a part of a flatstructure organization. Your responsibilities are to be at the forefront of architecting building deploying and maintaining a cloudnative webscale data platform. You will collaborate with a dynamic team to deliver robust scalable and sustainable data pipelines ensuring seamless integration and optimal performance. You are expected to be involved in the design and architecture of the solutions while also focusing on the entire SDLC lifecycle stages..
Job Responsibilities:
- Architect and develop scalable data pipelines on cloud infrastructure.
- Collaborate in an agile customerfacing environment to deliver highquality solutions.
- Utilize your expertise in Python and SQL to develop and optimize data processes.
- Design and manage relational databases and complex data structures.
- Deploy and manage containerized applications using Docker and Kubernetes.
- Develop Infrastructure as Code (IaC) with Terraform and Terragrunt.
- Engage in all stages of the software development lifecycle from design to support.
- Utilize scheduling systems with a preference for Airflow to manage workflows.
- Automate deployment releases and testing in CI/CD pipelines.
- Write and automate unit component integration and endtoend tests.
Required Qualifications Capabilities and Skills:
- Extensive handson experience in Python and SQL (any dialect).
- Experience with distributed systems and cloud technologies (AWS GCP Azure etc.; EMR is a plus.
- Handson experience in relational databases data structures caching concepts race conditions and complex analytical queries.
- Experience with Infrastructure as Code (IaC) using Terraform and Terragrunt.
- Experience with scheduling systems with Airflow preferred.
- Basic understanding of data streaming and messaging frameworks (Kafka Spark Structured Streaming Flink etc..
- Good knowledge of the Spark framework and its deployment with cloud services.
Preferred Qualifications:
- Academic qualification in computer science or a STEMrelated field or foreign equivalent.
- At least 3 years of handson experience as a backend software engineer or data engineer.
- Familiarity with table formats such as Iceberg.
- Experience with EMR and Spark is a plus.
- Understanding of RESTful services.
- Write and automate unit component integration and endtoend tests.
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