• Job Description

  Req#: 210465362

  Our team is at the heart of this new venture, focused on developing offerings that put the customer at the center. We have created a new organization and we are looking for solution-oriented, commercially minded, customer-focused engineers, used to working in an agile environment who want to be a part of building something new from the ground up within a diverse and inclusive team.

  Culture is as important to us and we are looking for intellectually curious individuals with a passion for solving hard problems by using the right technologies to deliver impact. The ideal candidates would like to expand their skills whilst working on a new exciting venture for the firm. Your work will have a massive impact, both on us as a company, as well as our clients and our business partners around the world.

  Job Description

  This is a hands-on data engineer role within a green-field initiative. The ideal candidate will be involved actively with architecting, building, deploying and maintaining a cloud-native, web-scale data platform with aspirations of maturing into an insights and machine learning platform.

  Required Technical Qualifications & Experience

  • Academic qualification in a computer science or STEM (science, technology, engineering or mathematics) related field or the foreign equivalent
  • Professional experience working in an agile, dynamic and customer facing environment
  • At least 5 years of recent hands-on professional experience (actively coding) working as a data engineer (back-end software engineer considered)
  • Understanding of distributed systems and cloud technologies (AWS, GCP, Azure, etc.)
  • Understanding of data streaming and scalable data processing frameworks (Kafka, Spark Structured Streaming, Flink, Beam etc.)
  • Experience with SQL (any dialect) and Data tools (ie. Dbt)
  • Experience in the all stages of software development lifecycle (requirements, design, architecture, development, testing, deployment, release and support)
  • Experience with large scale datasets , data lake and data warehouse technologies on at least TB scale (ideally PB scale of datasets) with at least one of {BigQuery, Redshift, Snowflake}
  • Experience in Infrastructure as Code (ideally Terraform) for Cloud based data infrastructure
  • Good experience with using a JVM language (Java/Scala/Kotlin, preferably Java 8+) or extensive knowledge of Python

  Desirable Technical Qualifications & Experience

  • Experience with a scheduling system (Airflow, Azkaban, etc.)
  • Understanding of (distributed and non-distributed) data structures, caching concepts, CAP theorem
  • Understanding of security frameworks / standards and privacy
  • Desired – experience in automating deployment, releases and testing in continuous integration, continuous delivery pipelines
  • A solid approach to writing unit level tests using mocking frameworks, as well as automating component, integration and end-to-end tests
  • Experience with containers and container-based deployment environment (Docker, Kubernetes, etc.)

  Soft Skills

  • Ability to work in a collaborative environment and coach other team members on coding practices, design principles, and implementation patterns that lead to high-quality maintainable solutions.
  • Ability to work in a dynamic, agile environment within a geographically distributed team
  • Ability to focus on promptly addressing customer needs
  • Ability to work within a diverse and inclusive team
  • Technically curious, self-motivated, versatile and solution oriented
  • Excellent written and verbal communication skills in English

  #ICB #Engineering

• About the company

  J.P. Morgan is a leader in financial services, offering solutions to clients in more than 100 countries with one of the most comprehensive global product platforms available. We have been helping our clients to do business and manage their wealth for more than 200 years. Our business has been built upon our core principle of putting our clients'​ interests first.

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